Triple

T16244256
Position Surface form Disambiguated ID Type / Status
Subject Dane DeHaan E394328 entity
Predicate workedWith P398 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: [Dane DeHaan, workedWith, Andrew Garfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Garfield
Context triple: [Dane DeHaan, workedWith, 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. 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."
  • 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. Luke Redmayne
    Luke Redmayne is the son of English actor Eddie Redmayne and his wife Hannah Bagshawe.
  • E. 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.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24560c6848190ae0e85ecb11a9264 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee135b881909cc1b6919bc7af29 completed May 10, 2026, 4:51 a.m.
Created at: April 10, 2026, 5:04 a.m.