Triple

T4228432
Position Surface form Disambiguated ID Type / Status
Subject Nevil Macready E94516 entity
Predicate givenName P17 FINISHED
Object Nevil E94516 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: Nevil | Statement: [Nevil Macready, givenName, Nevil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nevil
Context triple: [Nevil Macready, givenName, Nevil]
  • A. Neville
    Neville is a fictional character appearing in the British animated children's television series "Dot."
  • B. Nevil Macready chosen
    Nevil Macready was a British Army general best known for serving as Commander-in-Chief in Ireland during the Irish War of Independence.
  • C. Neville Sinclair
    Neville Sinclair is the suave, villainous Hollywood actor and secret Nazi agent from the 1991 film "The Rocketeer."
  • D. Jonathan Trelawny
    Jonathan Trelawny was a 17th-century English bishop and one of the Seven Bishops famously tried and acquitted for resisting King James II’s Declaration of Indulgence.
  • E. Reginald
    Reginald is a masculine given name of English origin that has been borne by various notable figures, including military officers, politicians, and artists.
  • 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_69b3453700a08190ae88792e3dc63207 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e51817c8190bff50f2c3b5deea0 completed March 12, 2026, 11:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5964cd0088190a97ca5278046ba7b completed March 14, 2026, 5:09 p.m.
Created at: March 12, 2026, 11:04 p.m.