Triple

T5494458
Position Surface form Disambiguated ID Type / Status
Subject Spider-Man E123778 entity
Predicate portrayedBy P1507 FINISHED
Object Andrew Garfield E96861 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: Andrew Garfield | Statement: [Spider-Man, portrayedBy, Andrew Garfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Garfield
Context triple: [Spider-Man, portrayedBy, Andrew Garfield]
  • A. Andrew Garfield chosen
    Andrew Garfield is an acclaimed British-American actor known for roles in films such as "The Social Network" and "The Amazing Spider-Man" series.
  • B. 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."
  • C. Luke Redmayne
    Luke Redmayne is the son of English actor Eddie Redmayne and his wife Hannah Bagshawe.
  • D. James Franco
    James Franco is an American actor, filmmaker, and academic known for his diverse roles in films like "127 Hours" and "Pineapple Express" and for his often experimental approach to art and performance.
  • E. Tobey Maguire
    Tobey Maguire is an American actor best known for portraying Peter Parker/Spider-Man in Sam Raimi’s Spider-Man film trilogy.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9294ea9c8190b394a8528c385ee9 completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c95ba008190ad61e1d31ae38d98 completed March 22, 2026, 4:14 a.m.
Created at: March 20, 2026, 2:10 p.m.