Triple

T766637
Position Surface form Disambiguated ID Type / Status
Subject Philippe Leclerc de Hauteclocque E16188 entity
Predicate givenName P17 FINISHED
Object Philippe
Philippe is the given name of Philippe Leclerc de Hauteclocque, a renowned French general and Free French leader during World War II.
E23608 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: Philippe | Statement: [Philippe Leclerc de Hauteclocque, givenName, Philippe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippe
Context triple: [Philippe Leclerc de Hauteclocque, givenName, Philippe]
  • A. Édouard
    Édouard is the French form of the given name Edward, commonly used in French-speaking countries.
  • B. Philippe, Duke of Anjou
    Philippe, Duke of Anjou was a French prince of the Bourbon dynasty who later became King Philip V of Spain, founding the Spanish Bourbon royal line.
  • C. Henri
    Henri is a given name most famously associated with the French artist Henri Matisse.
  • D. Guillaume
    Guillaume is the French form of the given name William, commonly used in French-speaking countries.
  • E. François
    François is the given name of the French poet and essayist Sully Prudhomme, the first recipient of the Nobel Prize in Literature.
  • 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: Philippe
Triple: [Philippe Leclerc de Hauteclocque, givenName, Philippe]
Generated description
Philippe is the given name of Philippe Leclerc de Hauteclocque, a renowned French general and Free French leader during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Philippe
Target entity description: Philippe is the given name of Philippe Leclerc de Hauteclocque, a renowned French general and Free French leader during World War II.
  • A. Édouard
    Édouard is the French form of the given name Edward, commonly used in French-speaking countries.
  • B. Philippe, Duke of Anjou chosen
    Philippe, Duke of Anjou was a French prince of the Bourbon dynasty who later became King Philip V of Spain, founding the Spanish Bourbon royal line.
  • C. Henri
    Henri is a given name most famously associated with the French artist Henri Matisse.
  • D. Guillaume
    Guillaume is the French form of the given name William, commonly used in French-speaking countries.
  • E. François
    François is the given name of the French poet and essayist Sully Prudhomme, the first recipient of the Nobel Prize in Literature.
  • F. None of above.

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_69a493684ee48190bd43b7c78da4aec8 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a6a0fee08190bf365d14c007e008 completed March 1, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac16f360208190affd6282a1040d9a completed March 7, 2026, 12:15 p.m.
NEDg Description generation batch_69ac1787a9ac81908f032cd893d3efe8 completed March 7, 2026, 12:18 p.m.
NED2 Entity disambiguation (via description) batch_69ac1807aa388190ad2910966c9d1b04 completed March 7, 2026, 12:20 p.m.
Created at: March 1, 2026, 7:37 p.m.