Triple

T8828084
Position Surface form Disambiguated ID Type / Status
Subject Chris Evans E210065 entity
Predicate name P16 FINISHED
Object Chris Evans E210065 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: Chris Evans | Statement: [Chris Evans, name, Chris Evans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Evans
Context triple: [Chris Evans, name, Chris Evans]
  • A. Chris Evans chosen
    Chris Evans is an American actor best known for portraying Captain America in the Marvel Cinematic Universe.
  • B. Sebastian Stan
    Sebastian Stan is a Romanian-American actor best known for playing Bucky Barnes/The Winter Soldier in the Marvel Cinematic Universe and appearing in films such as "I, Tonya" and "Pam & Tommy."
  • 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. Clark Gregg
    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."
  • E. Robert Downey Jr.
    Robert Downey Jr. is an acclaimed American actor best known for his charismatic performances in films such as the Iron Man and Avengers series, as well as his critically lauded dramatic roles.
  • 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.