Triple

T907253
Position Surface form Disambiguated ID Type / Status
Subject Philippe Erlanger E19575 entity
Predicate givenName P17 FINISHED
Object Philippe
Philippe is a masculine given name of French origin commonly used in Francophone countries and derived from the Greek name Philippos.
 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 Erlanger, givenName, Philippe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Philippe
Context triple: [Philippe Erlanger, 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 Erlanger, givenName, Philippe]
Generated description
Philippe is a masculine given name of French origin commonly used in Francophone countries and derived from the Greek name Philippos.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Philippe
Target entity description: Philippe is a masculine given name of French origin commonly used in Francophone countries and derived from the Greek name Philippos.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2cdc1788190a704809404f49986 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f23e10081909ebf4e87dc081254 completed March 7, 2026, 7:40 p.m.
NEDg Description generation batch_69ac7f9a55dc819098204d53aac70ef3 completed March 7, 2026, 7:42 p.m.
NED2 Entity disambiguation (via description) batch_69ac80c3c6b08190a99119f5661c0157 completed March 7, 2026, 7:47 p.m.
Created at: March 1, 2026, 7:39 p.m.