Triple

T12935880
Position Surface form Disambiguated ID Type / Status
Subject Philip Freneau E309506 entity
Predicate givenName P17 FINISHED
Object Philip E309506 NE FINISHED

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 Freneau, givenName, Philip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Philip
Context triple: [Philip Freneau, givenName, Philip]
  • A. Philip
    Philip is the given first name of the acclaimed Sri Lankan-born Canadian writer Michael Ondaatje, best known for his novel "The English Patient."
  • B. Philip chosen
    Philip is the given name of Philip Freneau, an American poet often called the “Poet of the American Revolution.”
  • C. Philip
    Philip is the given first name of Phil Murphy, the American politician serving as governor of New Jersey.
  • D. Philip
    Philip is the given first name of American filmmaker Davis Guggenheim, known for directing documentaries such as "An Inconvenient Truth."
  • E. Philip
    Philip is the given name of Philip Dormer Stanhope, 4th Earl of Chesterfield, an 18th-century British statesman, diplomat, and celebrated letter-writer.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d7bdfa933c8190b5a27aa4a08a19b7 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97dc76d688190bd58a23351373666 completed April 10, 2026, 10:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af6d16388190abc848ac67bf1fb9 completed May 3, 2026, 2:14 a.m.
Created at: April 9, 2026, 5:43 p.m.