Triple

T10180890
Position Surface form Disambiguated ID Type / Status
Subject Laetitia E236777 entity
Predicate hasShortForm P43 FINISHED
Object Laety
Laety is a short form or nickname derived from the given name Laetitia, often used in informal or affectionate contexts.
 E849587 NE FINISHED

How this triple was built (4 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: Laety | Statement: [Laetitia, hasShortForm, Laety]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Laety
Context triple: [Laetitia, hasShortForm, Laety]
  • A. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • B. Leova
    Leova is a small town in southwestern Moldova known for its location near the border with Romania and its position along the Prut River.
  • C. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • D. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • E. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • 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: Laety
Triple: [Laetitia, hasShortForm, Laety]
Generated description
Laety is a short form or nickname derived from the given name Laetitia, often used in informal or affectionate contexts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Laety
Target entity description: Laety is a short form or nickname derived from the given name Laetitia, often used in informal or affectionate contexts.
  • A. Valleiry
    Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
  • B. Leova
    Leova is a small town in southwestern Moldova known for its location near the border with Romania and its position along the Prut River.
  • C. Arnalta
    Arnalta is a comic nurse character in Claudio Monteverdi’s opera "L'incoronazione di Poppea," known for her earthy wisdom and humorous commentary.
  • D. Huelén
    Huelén is the former indigenous name for Cerro Santa Lucía, a historic hill and urban park in central Santiago, Chile.
  • E. Dorla
    Dorla are an indigenous Adivasi community of the Bastar region in central India, known for their distinct cultural traditions, language, and close relationship with forest-based livelihoods.
  • F. None of above. chosen

Provenance (5 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded315f14819085727bd9b4363d10 completed April 2, 2026, 4:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d652a5fa6c8190ac153678f979cb74 completed April 8, 2026, 1:05 p.m.
NEDg Description generation batch_69d656c057348190823ae5f1ecc33b61 completed April 8, 2026, 1:23 p.m.
NED2 Entity disambiguation (via description) batch_69d6575318a08190b4591b57f2595d51 completed April 8, 2026, 1:25 p.m.
Created at: March 30, 2026, 9:11 p.m.