Triple

T1775401
Position Surface form Disambiguated ID Type / Status
Subject Ridley Scott E38964 entity
Predicate sibling P363 FINISHED
Object Tony Scott E201579 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: Tony Scott | Statement: [Ridley Scott, sibling, Tony Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Scott
Context triple: [Ridley Scott, sibling, Tony Scott]
  • A. Tony Scott chosen
    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."
  • B. Roger Spottiswoode
    Roger Spottiswoode is a British-Canadian film director and editor known for directing a range of Hollywood features, including the James Bond film "Tomorrow Never Dies."
  • C. Mark Robson
    Mark Robson was a Canadian-born film editor-turned-director known for his work in Hollywood on acclaimed films from the 1940s through the 1960s.
  • D. 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."
  • E. Joe Johnston
    Joe Johnston is an American film director and visual effects artist best known for directing movies such as "Honey, I Shrunk the Kids," "Jumanji," and "Captain America: The First Avenger."
  • 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_69a8862e61708190af97b9838cc3f5de completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64b6c4a88190ab2f75c8d4814f11 completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf4fd0ec8190904f1ad2155c58bf completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:31 p.m.