Triple

T11747488
Position Surface form Disambiguated ID Type / Status
Subject Tsotsi E279321 entity
Predicate director P255 FINISHED
Object Gavin Hood E58113 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: Gavin Hood | Statement: [Tsotsi, director, Gavin Hood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gavin Hood
Context triple: [Tsotsi, director, Gavin Hood]
  • A. Gavin Hood chosen
    Gavin Hood is a South African filmmaker and actor best known for directing films such as "Tsotsi," which won the Academy Award for Best Foreign Language Film, and big-budget features like "X-Men Origins: Wolverine" and "Ender's Game."
  • B. Sacha Gervasi
    Sacha Gervasi is a British screenwriter and director known for films such as "The Terminal" and the documentary "Anvil! The Story of Anvil."
  • C. Neill Blomkamp
    Neill Blomkamp is a South African-Canadian filmmaker known for his visually distinctive, socially conscious science fiction films such as "District 9" and "Elysium."
  • D. Gareth Edwards
    Gareth Edwards is a Welsh former rugby union scrum-half widely regarded as one of the greatest rugby players of all time.
  • E. Gareth Edwards
    Gareth Edwards is a British filmmaker known for directing large-scale science fiction and monster films such as "Monsters," "Godzilla" (2014), and "Rogue One: A Star Wars Story."
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50763a081908597da118bd0a64e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019f5f29c81909d80a9e6127ec6ef completed April 28, 2026, 2:22 a.m.
Created at: April 8, 2026, 9:41 p.m.