Triple

T6627924
Position Surface form Disambiguated ID Type / Status
Subject Arrow E149849 entity
Predicate portrayedBy P1507 FINISHED
Object Stephen Amell E600900 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: Stephen Amell | Statement: [Arrow, portrayedBy, Stephen Amell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stephen Amell
Context triple: [Arrow, portrayedBy, Stephen Amell]
  • A. Stephen Amell chosen
    Stephen Amell is a Canadian actor best known for portraying Oliver Queen/Green Arrow in the television series "Arrow."
  • B. Tom Welling
    Tom Welling is an American actor best known for playing Clark Kent/Superman on the television series "Smallville."
  • C. Piers Cavill
    Piers Cavill is a British man best known to the public as one of the older brothers of actor Henry Cavill.
  • D. Nikolaj Coster-Waldau
    Nikolaj Coster-Waldau is a Danish actor best known internationally for his role as Jaime Lannister in the television series "Game of Thrones."
  • E. Nathan Fillion
    Nathan Fillion is a Canadian-American actor best known for his leading roles in the television series "Firefly" and "Castle," as well as numerous voice acting performances in animation and video games.
  • 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_69c687ee50048190aa151765bef16193 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6afa2e4a48190ba3c70013bab14f2 completed March 27, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e44d356c8190ad4f2a617c3de4af completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:59 p.m.