Triple

T10339126
Position Surface form Disambiguated ID Type / Status
Subject Trapper John McIntyre E243082 entity
Predicate worksWith P398 FINISHED
Object Henry Blake E243085 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: Henry Blake | Statement: [Trapper John McIntyre, worksWith, Henry Blake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Blake
Context triple: [Trapper John McIntyre, worksWith, Henry Blake]
  • A. Henry Blake chosen
    Henry Blake is the affable, somewhat bumbling commanding officer of the 4077th Mobile Army Surgical Hospital in the television series M*A*S*H.
  • B. Henry Parker
    Henry Parker is a recurring character on the television series "Dawson's Creek," known as one of Jen Lindley’s later love interests.
  • C. Henry Sherwin
    Henry Sherwin was an American businessman best known as the co-founder of the Sherwin-Williams Company, a major paint and coatings manufacturer.
  • D. Thomas Blake
    Thomas Blake is a sibling of the English singer-songwriter and producer James Blake.
  • E. Henry Buckley
    Henry Buckley is a personal name shared by several notable individuals, including politicians, journalists, and public figures.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e0a470948190959f298dd6110bf3 completed April 7, 2026, 10:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7506278f881908b090b13706e5d4e completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:54 a.m.