Triple

T4198565
Position Surface form Disambiguated ID Type / Status
Subject Petit family E86010 entity
Predicate hasMember P10 FINISHED
Object Framji Petit
Framji Petit was a prominent member of the influential Petit family, known for their role in Bombay’s industrial, philanthropic, and social life during the British colonial era.
 E420200 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: Framji Petit | Statement: [Petit family, hasMember, Framji Petit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Framji Petit
Context triple: [Petit family, hasMember, Framji Petit]
  • A. Labouret
    Labouret is a French surname associated with individuals such as Marie-Louise Élisabeth Labouret.
  • B. Ferrand
    Ferrand is a given name and surname of French origin, related to the name Ferdinand.
  • C. Peillon
    Peillon is a picturesque medieval hilltop village in southeastern France, known for its narrow streets, stone houses, and views over the surrounding Alpes-Maritimes countryside.
  • D. Peney-Dessous
    Peney-Dessous is a small village in the municipality of Satigny in the canton of Geneva, Switzerland.
  • E. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • 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: Framji Petit
Triple: [Petit family, hasMember, Framji Petit]
Generated description
Framji Petit was a prominent member of the influential Petit family, known for their role in Bombay’s industrial, philanthropic, and social life during the British colonial era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Framji Petit
Target entity description: Framji Petit was a prominent member of the influential Petit family, known for their role in Bombay’s industrial, philanthropic, and social life during the British colonial era.
  • A. Labouret
    Labouret is a French surname associated with individuals such as Marie-Louise Élisabeth Labouret.
  • B. Ferrand
    Ferrand is a given name and surname of French origin, related to the name Ferdinand.
  • C. Peillon
    Peillon is a picturesque medieval hilltop village in southeastern France, known for its narrow streets, stone houses, and views over the surrounding Alpes-Maritimes countryside.
  • D. Peney-Dessous
    Peney-Dessous is a small village in the municipality of Satigny in the canton of Geneva, Switzerland.
  • E. Lebrun
    Lebrun is a French surname borne by various notable figures in politics, arts, and other fields.
  • 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_69aed93b89f48190a31f6d57c760e42f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af036243b4819097efe6b796823cd9 completed March 9, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b58a12c11481908033229ecf90c9f9 completed March 14, 2026, 4:17 p.m.
NEDg Description generation batch_69b58e0446d48190a1fd54bcc72af026 completed March 14, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_69b58e8d57cc8190a823a7cf3a3f0cdf completed March 14, 2026, 4:36 p.m.
Created at: March 9, 2026, 3:48 p.m.