Triple

T2216288
Position Surface form Disambiguated ID Type / Status
Subject Henry Jackman E48039 entity
Predicate name P16 FINISHED
Object Henry Jackman E48039 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 Jackman | Statement: [Henry Jackman, name, Henry Jackman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Henry Jackman
Context triple: [Henry Jackman, name, Henry Jackman]
  • A. Henry Jackman chosen
    Henry Jackman is a British film composer known for his dynamic, hybrid orchestral-electronic scores for major Hollywood blockbusters and action films.
  • B. Geoff Johns
    Geoff Johns is a prominent American comic book writer and producer best known for revitalizing major DC Comics characters and serving as a key architect of the modern DC Universe.
  • C. Tom Taylor
    Tom Taylor was a 19th-century British dramatist and editor best known for his popular stage plays and his work as editor of the satirical magazine Punch.
  • D. Richard Johns
    Richard Johns is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
  • E. Mark Millar
    Mark Millar is a Scottish comic book writer best known for creating influential works such as "Kick-Ass," "Wanted," and "Kingsman: The Secret Service," many of which have been adapted into successful 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc00f4c3881909d03301fcdfa8b67 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65594c948190a43bdab03e61c130 completed March 9, 2026, 6:14 a.m.
Created at: March 4, 2026, 7:46 p.m.