Triple

T4292337
Position Surface form Disambiguated ID Type / Status
Subject Spartacus: Blood and Sand E99623 entity
Predicate executiveProducer P7225 FINISHED
Object Joshua Donen E274414 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: Joshua Donen | Statement: [Spartacus: Blood and Sand, executiveProducer, Joshua Donen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joshua Donen
Context triple: [Spartacus: Blood and Sand, executiveProducer, Joshua Donen]
  • A. Joshua Donen chosen
    Joshua Donen is an American film and television producer known for working on projects such as the Western film "The Quick and the Dead" and various high-profile genre productions.
  • B. Gregory Mottola
    Gregory Mottola is an American film director and screenwriter best known for directing the comedy films "Superbad" and "Adventureland."
  • C. Greg Yaitanes
    Greg Yaitanes is an American television director and producer known for his work on high-profile series such as House of the Dragon and House.
  • D. Boaz Yakin
    Boaz Yakin is an American filmmaker and screenwriter known for writing and directing films such as "Fresh" and "Remember the Titans."
  • E. Chad Beguelin
    Chad Beguelin is an American playwright and lyricist known for his work on Broadway musicals such as The Wedding Singer, Aladdin, and The Prom.
  • 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_69b3455175088190aa79c6e03b86647e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3508035a08190b752c8edce0aff86 completed March 12, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c739df2c8190af6f8d9bf36afca8 completed March 14, 2026, 8:38 p.m.
Created at: March 12, 2026, 11:08 p.m.