Triple

T10396594
Position Surface form Disambiguated ID Type / Status
Subject Tin Star E245036 entity
Predicate starring P1507 FINISHED
Object Tim Roth E39243 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: Tim Roth | Statement: [Tin Star, starring, Tim Roth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Roth
Context triple: [Tin Star, starring, Tim Roth]
  • A. Tim Roth chosen
    Tim Roth is an English actor known for his intense, often villainous roles in films such as "Reservoir Dogs," "Pulp Fiction," and "Rob Roy," as well as his collaborations with directors like Quentin Tarantino.
  • B. William Fichtner
    William Fichtner is an American character actor known for his intense, often villainous or morally complex roles in films such as "Heat," "Armageddon," and "Black Hawk Down," as well as the TV series "Prison Break."
  • C. Armand Assante
    Armand Assante is an American actor known for his intense screen presence and roles in crime dramas and historical films.
  • D. Robert Urich
    Robert Urich was an American actor best known for his roles in television series such as "Vega$," "Spenser: For Hire," and "Lonesome Dove."
  • E. Mickey Rourke
    Mickey Rourke is an American actor and former boxer known for his intense, brooding performances in films such as "The Wrestler," "9½ Weeks," and "Angel Heart."
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9cf79348190975d6c1791e3b621 completed April 7, 2026, 11:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d89f6fbc848190806d50bfad654b27 completed April 10, 2026, 6:57 a.m.
Created at: April 6, 2026, 12:06 p.m.