Triple

T6635380
Position Surface form Disambiguated ID Type / Status
Subject In the French Style E150435 entity
Predicate starring P1507 FINISHED
Object Philippe Forquet
Philippe Forquet was a French actor and 1960s heartthrob best known for his romantic lead roles in films that paired him with prominent international actresses.
E689691 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 Forquet | Statement: [In the French Style, starring, Philippe Forquet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philippe Forquet
Context triple: [In the French Style, starring, Philippe Forquet]
  • A. Frédéric Bricout
    Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
  • B. Philippe Martinaud
    Philippe Martinaud is a lighting designer known for creating the illumination scheme of Tbilisi’s iconic Bridge of Peace.
  • C. François Lecointre
    François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
  • D. Frédéric Arnault
    Frédéric Arnault is a French business executive known for his leadership roles within the LVMH luxury group, particularly in its watch division.
  • E. Frédéric Boissonnas
    Frédéric Boissonnas was a pioneering Swiss photographer renowned for his early 20th-century landscape and travel photography, particularly his influential work documenting Greece and its mountains.
  • 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 Forquet
Triple: [In the French Style, starring, Philippe Forquet]
Generated description
Philippe Forquet was a French actor and 1960s heartthrob best known for his romantic lead roles in films that paired him with prominent international actresses.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Philippe Forquet
Target entity description: Philippe Forquet was a French actor and 1960s heartthrob best known for his romantic lead roles in films that paired him with prominent international actresses.
  • A. Frédéric Bricout
    Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
  • B. Philippe Martinaud
    Philippe Martinaud is a lighting designer known for creating the illumination scheme of Tbilisi’s iconic Bridge of Peace.
  • C. François Lecointre
    François Lecointre is a French Army general who served as France’s Chief of the Defence Staff.
  • D. Frédéric Arnault
    Frédéric Arnault is a French business executive known for his leadership roles within the LVMH luxury group, particularly in its watch division.
  • E. Frédéric Boissonnas
    Frédéric Boissonnas was a pioneering Swiss photographer renowned for his early 20th-century landscape and travel photography, particularly his influential work documenting Greece and its mountains.
  • 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_69c687f0ceb08190bf40807bfc605fa5 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afcc1c9c819087fcde19a5d49fd2 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9061709f48190a9e198dac225aed4 completed March 29, 2026, 10:59 a.m.
NEDg Description generation batch_69c9069a60e88190be4b8c1dc1f1a3af completed March 29, 2026, 11:01 a.m.
NED2 Entity disambiguation (via description) batch_69c9071da2c48190b3d50e460c312c67 completed March 29, 2026, 11:03 a.m.
Created at: March 27, 2026, 1:59 p.m.