Triple

T8827992
Position Surface form Disambiguated ID Type / Status
Subject Natasha Romanoff E210063 entity
Predicate createdBy P806 FINISHED
Object Don Heck E349885 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: Don Heck | Statement: [Natasha Romanoff, createdBy, Don Heck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Heck
Context triple: [Natasha Romanoff, createdBy, Don Heck]
  • A. Don Heck chosen
    Don Heck was an American comic book artist best known as one of the co-creators of Marvel superheroes such as Iron Man, Hawkeye, and Black Widow.
  • B. Mike Salisbury
    Mike Salisbury is a British television producer best known for his work on major natural history documentaries, including serving as an executive producer on David Attenborough’s acclaimed series "The Life of Birds."
  • C. Mike Salisbury
    Mike Salisbury is a music producer known for his work on the project Meat Eaters.
  • D. Dan Burton
    Dan Burton is an American Republican politician who served as a U.S. Representative from Indiana and was known for his strong anti-Castro stance and conservative positions.
  • E. Jim Leach
    Jim Leach is an American Republican politician and former U.S. Representative from Iowa known for his work on financial services legislation and government ethics.
  • 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_69ca8365b28081909e48e45e95dfc405 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc604ac0288190b59344bced8ac733 completed April 1, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69cf895a766c81908f41e369afb05023 completed April 3, 2026, 9:33 a.m.
Created at: March 30, 2026, 6:47 p.m.