Triple

T2840805
Position Surface form Disambiguated ID Type / Status
Subject Marian E62460 entity
Predicate hasDiminutive P456 FINISHED
Object Mani
Mani is a diminutive form of the given name Marian, commonly used as a familiar or affectionate nickname.
 E302824 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: Mani | Statement: [Marian, hasDiminutive, Mani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mani
Context triple: [Marian, hasDiminutive, Mani]
  • A. Maina
    Maina is an alternative name for the Achuar-Shiwiar language, an indigenous language spoken by the Achuar and Shiwiar peoples of the Amazon region.
  • B. Guna
    Guna is a city in the central Indian state of Madhya Pradesh known as an important regional administrative and commercial center.
  • C. Naman
    Naman is an endangered Oceanic language spoken by a small community in Vanuatu.
  • D. Manjuyod
    Manjuyod is a coastal municipality in Negros Oriental, Philippines, best known for its scenic sandbar and marine tourism.
  • E. Manda
    Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
  • 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: Mani
Triple: [Marian, hasDiminutive, Mani]
Generated description
Mani is a diminutive form of the given name Marian, commonly used as a familiar or affectionate nickname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mani
Target entity description: Mani is a diminutive form of the given name Marian, commonly used as a familiar or affectionate nickname.
  • A. Maina
    Maina is an alternative name for the Achuar-Shiwiar language, an indigenous language spoken by the Achuar and Shiwiar peoples of the Amazon region.
  • B. Guna
    Guna is a city in the central Indian state of Madhya Pradesh known as an important regional administrative and commercial center.
  • C. Naman
    Naman is an endangered Oceanic language spoken by a small community in Vanuatu.
  • D. Manjuyod
    Manjuyod is a coastal municipality in Negros Oriental, Philippines, best known for its scenic sandbar and marine tourism.
  • E. Manda
    Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf15b7288190a03d1193cc0544a6 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8cf32d08190bda89a513082813f completed March 10, 2026, 9:47 a.m.
NEDg Description generation batch_69afe9738b408190a8a1781dcd719742 completed March 10, 2026, 9:50 a.m.
NED2 Entity disambiguation (via description) batch_69b00040d88c81909925cd4c4d8a3d16 completed March 10, 2026, 11:28 a.m.
Created at: March 6, 2026, 10:01 p.m.