Triple

T9781751
Position Surface form Disambiguated ID Type / Status
Subject Frederic Henry Hedge E237391 entity
Predicate givenName P17 FINISHED
Object Frederic E26182 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: Frederic | Statement: [Frederic Henry Hedge, givenName, Frederic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frederic
Context triple: [Frederic Henry Hedge, givenName, Frederic]
  • A. Frederic
    Frederic is the dutiful young apprentice-turned-pirate protagonist of Gilbert and Sullivan’s comic opera "The Pirates of Penzance."
  • B. Frederic chosen
    Frederic is the given name of Frederic Edwin Church, a prominent 19th-century American landscape painter associated with the Hudson River School.
  • C. René-Justin Moreau
    René-Justin Moreau was a French architect best known for designing the late-19th-century bourgeois residence Maison Mantin in Moulins, France.
  • D. Pierre
    Pierre is a masculine given name of French origin that has been borne by numerous notable figures in history, arts, and science.
  • E. René
    René is a French given name commonly used for males and historically associated with several notable figures in politics, arts, and philosophy.
  • 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_69ca84da927881909bda80caecad6010 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda1b23cb88190b458ab18d5f7f493 completed April 1, 2026, 10:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bd2e5f4c81908a3c132df6440947 completed April 5, 2026, 1:38 a.m.
Created at: March 30, 2026, 8:27 p.m.