Triple

T5607106
Position Surface form Disambiguated ID Type / Status
Subject Liliane Bettencourt E147260 entity
Predicate givenName P17 FINISHED
Object Liliane
Liliane is a feminine given name of French origin, notably borne by French heiress and businesswoman Liliane Bettencourt.
 E544076 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: Liliane | Statement: [Liliane Bettencourt, givenName, Liliane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Liliane
Context triple: [Liliane Bettencourt, givenName, Liliane]
  • A. Odile
    Odile is the seductive and deceptive Black Swan character in the ballet "Swan Lake," often portrayed as the antagonist and foil to the virtuous Odette.
  • B. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • C. Aline
    Aline is a feminine given name of French origin, commonly used in various cultures and languages.
  • D. Lilian
    Lilian is the given name of Ethel Lilian Voynich, an English novelist and musician best known for her revolutionary novel "The Gadfly."
  • E. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • 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: Liliane
Triple: [Liliane Bettencourt, givenName, Liliane]
Generated description
Liliane is a feminine given name of French origin, notably borne by French heiress and businesswoman Liliane Bettencourt.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Liliane
Target entity description: Liliane is a feminine given name of French origin, notably borne by French heiress and businesswoman Liliane Bettencourt.
  • A. Odile
    Odile is the seductive and deceptive Black Swan character in the ballet "Swan Lake," often portrayed as the antagonist and foil to the virtuous Odette.
  • B. Laetitia
    Laetitia is a feminine given name of Latin origin, historically borne by figures such as the English poet and essayist Anna Laetitia Barbauld.
  • C. Aline
    Aline is a feminine given name of French origin, commonly used in various cultures and languages.
  • D. Lilian
    Lilian is the given name of Ethel Lilian Voynich, an English novelist and musician best known for her revolutionary novel "The Gadfly."
  • E. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020fbb8748190841e5e09db3feef1 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d9957e481909b57e8d524f4b4f6 completed March 22, 2026, 11:39 p.m.
NEDg Description generation batch_69c08d5a3fbc8190bd0a0862ad6ae66d completed March 23, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69c08dc4d12c8190a7a245d583ef08d4 completed March 23, 2026, 12:48 a.m.
Created at: March 22, 2026, 3:39 p.m.