Triple

T3341984
Position Surface form Disambiguated ID Type / Status
Subject Tony Stark E70279 entity
Predicate creator P184 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: [Tony Stark, creator, Don Heck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Heck
Context triple: [Tony Stark, creator, 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. 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.
  • D. Bill Rasmussen
    Bill Rasmussen is an American sports broadcasting executive best known for creating ESPN, the first 24-hour cable sports television network.
  • E. Don Roberts
    Don Roberts is a software engineer and author known for his contributions to object-oriented design and refactoring, including work on the influential book "Refactoring: Improving the Design of Existing Code."
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1ee711481909c0d921f1b5b8562 completed March 8, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33426f73881908eb0759c47eb08d7 completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:12 p.m.