Triple

T1309176
Position Surface form Disambiguated ID Type / Status
Subject Marie E27948 entity
Predicate hasTypicalDiminutive P456 FINISHED
Object Mimi
Mimi is a common affectionate diminutive or nickname for the given name Marie.
E150188 NE FINISHED

How this triple was built (5 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Mimi | Statement: [Marie, hasTypicalDiminutive, Mimi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mimi
Context triple: [Marie, hasTypicalDiminutive, Mimi]
  • A. Misti
    Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
  • B. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • C. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • D. Miki
    Miki is a city in Japan located within Hyogo Prefecture, known for its traditional hardware industry and historical sites.
  • E. Missy
    Missy is the female incarnation of the Master, a recurring Time Lord villain and nemesis of the Doctor in the British science fiction series Doctor Who.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mimi
Triple: [Marie, hasTypicalDiminutive, Mimi]
Generated description
Mimi is a common affectionate diminutive or nickname for the given name Marie.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mimi
Target entity description: Mimi is a common affectionate diminutive or nickname for the given name Marie.
  • A. Misti
    Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
  • B. Mille
    Mille is a French surname most notably borne by individuals such as Stéphane Mille.
  • C. Kiko
    Kiko is the young, albino giant ape who serves as the gentle offspring and companion of King Kong in the 1933 film "Son of Kong."
  • D. Miki
    Miki is a city in Japan located within Hyogo Prefecture, known for its traditional hardware industry and historical sites.
  • E. Missy
    Missy is the female incarnation of the Master, a recurring Time Lord villain and nemesis of the Doctor in the British science fiction series Doctor Who.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypicalDiminutive
Context triple: [Marie, hasTypicalDiminutive, Mimi]
  • A. hasDiminutive chosen
    Indicates that one entity is a diminutive form or smaller/affectionate variant of another entity.
  • B. honorificNickname
    Indicates that one entity is referred to by a respectful or honorific nickname by another entity or in a given context.
  • C. hasThreeLetterForm
    Indicates that an entity’s written or symbolic form consists of exactly three letters.
  • D. hasEndonym
    Indicates that an entity has a name or designation used by native speakers or within its own local language or community.
  • E. hasDemonym
    Indicates that one entity is the term (demonym) used to refer to the inhabitants or natives of another entity (typically a place).
  • F. None of above.

Provenance (6 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c15490a88190872c3d2698a8f9c9 completed March 1, 2026, 10:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbaec736881909645919764d73f5f completed March 7, 2026, 11:55 p.m.
NEDg Description generation batch_69acbbe67f0881908796ae064e72571d completed March 7, 2026, 11:59 p.m.
NED2 Entity disambiguation (via description) batch_69acbc8c3cc88190a0764b8d306b40ab completed March 8, 2026, 12:02 a.m.
PD Predicate disambiguation batch_69a4bee9e4a88190b22ab2ee831a23c9 completed March 1, 2026, 10:34 p.m.
Created at: March 1, 2026, 7:51 p.m.