Triple

T21766984
Position Surface form Disambiguated ID Type / Status
Subject Evil Ed Lee E537318 entity
Predicate creator P184 FINISHED
Object Tom Holland 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: Tom Holland | Statement: [Evil Ed Lee, creator, Tom Holland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Holland
Context triple: [Evil Ed Lee, creator, Tom Holland]
  • A. Tom Holland
    Tom Holland is an English actor best known for portraying Spider-Man in the Marvel Cinematic Universe and for roles in films such as "The Impossible" and "The Lost City of Z."
  • B. Tom Holland chosen
    Tom Holland is an American filmmaker and screenwriter best known for writing and directing influential horror films such as "Fright Night" (1985) and "Child's Play" (1988).
  • C. Tom Hollander
    Tom Hollander is an English actor known for his versatile performances in film, television, and theatre, including roles in "In the Loop," "Pride & Prejudice," and the series "Rev."
  • D. Todd Holland
    Todd Holland is an American television and film director best known for his work on acclaimed comedy series such as "Malcolm in the Middle" and "The Larry Sanders Show."
  • E. Chris Evans
    Chris Evans is an American actor best known for portraying Captain America in the Marvel Cinematic Universe.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f031aa9c888190887c5c1d1e3bab9f completed April 28, 2026, 4:03 a.m.
Created at: April 16, 2026, 6:51 p.m.