Triple

T9994897
Position Surface form Disambiguated ID Type / Status
Subject Clark Gregg E197178 entity
Predicate name P16 FINISHED
Object Clark Gregg E197178 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: Clark Gregg | Statement: [Clark Gregg, name, Clark Gregg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clark Gregg
Context triple: [Clark Gregg, name, Clark Gregg]
  • A. Clark Gregg chosen
    Clark Gregg is an American actor and filmmaker best known for portraying Agent Phil Coulson in the Marvel Cinematic Universe and the TV series "Agents of S.H.I.E.L.D."
  • B. Chris Evans
    Chris Evans is an American actor best known for portraying Captain America in the Marvel Cinematic Universe.
  • C. Anthony Mackie
    Anthony Mackie is an American actor best known for his role as Sam Wilson/Falcon in the Marvel Cinematic Universe and for performances in films such as "The Hurt Locker" and "Captain America: The Winter Soldier."
  • D. James Norman Hiddleston
    James Norman Hiddleston is the father of British actor Tom Hiddleston and is known as a Scottish-born chemist and former managing director in the pharmaceutical industry.
  • E. Jeremy Renner
    Jeremy Renner is an American actor and musician best known for his roles in films such as "The Hurt Locker" and as Hawkeye in the Marvel Cinematic Universe.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb99ac74819091f20816478ea375 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258336ab8819098d4878b8c106d86 completed April 5, 2026, 12:40 p.m.
Created at: March 30, 2026, 8:50 p.m.