Triple

T14637754
Position Surface form Disambiguated ID Type / Status
Subject 99 Homes E343649 entity
Predicate starring 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: [99 Homes, starring, Andrew Garfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrew Garfield
Context triple: [99 Homes, starring, 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aca6448190adf1042dfbfef716 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda934ec3c81909eb3c3a54260436b completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:26 a.m.