Triple

T19647908
Position Surface form Disambiguated ID Type / Status
Subject Gifted E471728 entity
Predicate starring P1507 FINISHED
Object Chris Evans NE NERFINISHED

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: [Gifted, starring, Chris Evans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Evans
Context triple: [Gifted, starring, Chris Evans]
  • A. Chris Evans chosen
    Chris Evans is an American actor best known for portraying Captain America in the Marvel Cinematic Universe.
  • B. Chris Evans
    Chris Evans is a British television and radio presenter and producer known for hosting shows such as "The Big Breakfast," "TFI Friday," and BBC Radio 2's breakfast program.
  • C. 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."
  • D. 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."
  • E. 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."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64126cea88190a1a6929f46de4686 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.