Triple

T6965311
Position Surface form Disambiguated ID Type / Status
Subject Dr. Abigail Chase E161472 entity
Predicate enemyOf P437 FINISHED
Object Ian Howe E633145 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: Ian Howe | Statement: [Dr. Abigail Chase, enemyOf, Ian Howe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ian Howe
Context triple: [Dr. Abigail Chase, enemyOf, Ian Howe]
  • A. Ian Howe chosen
    Ian Howe is the primary antagonist in the film "National Treasure," a wealthy and ruthless treasure hunter who betrays the protagonist in his quest for historical riches.
  • B. David Howell
    David Howell is a British Conservative politician and life peer who held several ministerial roles, including Secretary of State for Energy and for Transport, during a long parliamentary career.
  • C. Jeffrey Howlett
    Jeffrey Howlett was an Australian architect best known for his influential modernist designs, particularly major public buildings in Perth.
  • D. Chris Haywood
    Chris Haywood is an Australian actor known for his extensive work in film, television, and theatre since the 1970s.
  • E. Alan Howarth
    Alan Howarth is an American composer and sound designer best known for co-creating and expanding the iconic synthesizer-driven scores of many John Carpenter horror and science fiction films.
  • 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6db1049e0819097099a0e9d15f787 completed March 27, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a04a77c8190959056a68a349f6e completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:30 p.m.