Triple

T12869049
Position Surface form Disambiguated ID Type / Status
Subject Chappie E307799 entity
Predicate producer P490 FINISHED
Object Neill Blomkamp E197805 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: Neill Blomkamp | Statement: [Chappie, producer, Neill Blomkamp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neill Blomkamp
Context triple: [Chappie, producer, Neill Blomkamp]
  • A. Neill Blomkamp chosen
    Neill Blomkamp is a South African-Canadian filmmaker known for his visually distinctive, socially conscious science fiction films such as "District 9" and "Elysium."
  • B. Gavin Hood
    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."
  • C. Gabriel Mann
    Gabriel Mann is an American actor best known for his role as tech genius Nolan Ross on the television drama series "Revenge."
  • D. Gabriel Mann
    Gabriel Mann is an American composer and musician best known for scoring television series such as "Modern Family" and "A Million Little Things."
  • E. Alex Proyas
    Alex Proyas is an Egyptian-born Australian film director known for visually stylized, genre-bending movies such as "The Crow" and "Dark City."
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9708f510c8190b4c64dc340420e85 completed April 10, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af533d188190b9c816cdc892fe99 completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:38 p.m.