Triple

T15296071
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Heaven (film score) E365659 entity
Predicate filmDirector P255 FINISHED
Object Ridley Scott E38964 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: Ridley Scott | Statement: [Kingdom of Heaven (film score), filmDirector, Ridley Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ridley Scott
Context triple: [Kingdom of Heaven (film score), filmDirector, Ridley Scott]
  • A. Ridley Scott chosen
    Ridley Scott is a renowned British film director and producer known for visually striking and influential works such as Alien, Blade Runner, and Gladiator.
  • B. Wolfgang Petersen
    Wolfgang Petersen was a German film director known for acclaimed works such as "Das Boot," "In the Line of Fire," and "Air Force One."
  • C. Tony Scott
    Tony Scott was a British film director and producer known for high-energy, visually dynamic action films such as "Top Gun," "Crimson Tide," and "Man on Fire."
  • D. Bob Ridley
    Bob Ridley is an American soccer coach best known for managing the Dallas Tornado in the North American Soccer League.
  • E. Marcus Reiner
    Marcus Reiner was an influential engineer and physicist renowned for his pioneering contributions to rheology, the study of the flow and deformation of matter.
  • 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e036848c1881908fbaaae0216d6d27 completed April 16, 2026, 1:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69feef7b73a08190b06856c05ea8c80d completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.