Triple

T10845056
Position Surface form Disambiguated ID Type / Status
Subject What Lies Beneath E255988 entity
Predicate storyBy P1955 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: [What Lies Beneath, storyBy, Clark Gregg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clark Gregg
Context triple: [What Lies Beneath, storyBy, 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d750d0155c81908fb55ba6b45db800 completed April 9, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7ca05788190aff4f34084499ba6 completed April 15, 2026, 8:40 p.m.
Created at: April 8, 2026, 9:19 p.m.