Triple

T23285385
Position Surface form Disambiguated ID Type / Status
Subject Philip Cook E588971 entity
Predicate givenName P17 FINISHED
Object Philip — NE NERFINISHED

How this triple was built (2 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: Philip | Statement: [Philip Cook, givenName, Philip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Philip
Context triple: [Philip Cook, givenName, Philip]
  • A. Philip
    Philip is a fictional character portrayed by British actor Bill Nighy, known for his distinctive, understated charm and dry wit.
  • B. Philip
    Philip, known historically as Philip the Handsome, was a late 15th- and early 16th-century Habsburg ruler who became Duke of Burgundy and King of Castile through marriage to Joanna of Castile.
  • C. Philip
    Philip was the given name of Philip the Bold, the influential 14th-century Duke of Burgundy from the French royal House of Valois.
  • D. Philip
    Philip is the given name of Philip H. Lathrop, an American cinematographer known for his work on numerous Hollywood films.
  • E. Philip
    Philip is the given name of Philip Lamantia, an American surrealist poet known for his association with the Beat Generation.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69e25d16e2c08190a291de254703129e completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1964600888190b40ecbefdc8aec64 completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 4:59 p.m.