Triple

T18523192
Position Surface form Disambiguated ID Type / Status
Subject Robert D. Siegel E452641 entity
Predicate wroteForActor P42811 FINISHED
Object Mickey Rourke NE NERFINISHED

How this triple was built (3 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: Mickey Rourke | Statement: [Robert D. Siegel, wroteForActor, Mickey Rourke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mickey Rourke
Context triple: [Robert D. Siegel, wroteForActor, Mickey Rourke]
  • A. Mickey Rourke chosen
    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."
  • B. Tim Roth
    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.
  • C. Val Kilmer
    Val Kilmer is an American actor known for his versatile performances in films such as "Top Gun," "The Doors," and "Batman Forever."
  • D. Michael Clarke Duncan
    Michael Clarke Duncan was an American actor best known for his Oscar-nominated performance as the gentle giant John Coffey in the film "The Green Mile."
  • E. Nicolas Cage
    Nicolas Cage is an American actor known for his intense and eclectic performances across action, drama, and independent films.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: wroteForActor
Context triple: [Robert D. Siegel, wroteForActor, Mickey Rourke]
  • A. writtenForCharacter
    Indicates that a piece of writing (such as a script, scene, or dialogue) was specifically created or tailored for a particular character.
  • B. writtenForPerformer chosen
    Indicates that a work was specifically composed or created to be performed by a particular performer or type of performer.
  • C. hasWrittenFor
    Indicates that one entity has created written content (such as articles, stories, or texts) for or on behalf of another entity, typically a publication, organization, or platform.
  • D. workWrittenFor
    Indicates that a creative work was specifically composed, produced, or created for a particular person, group, event, purpose, or medium.
  • E. wroteIn
    Indicates that an entity authored or composed something using a particular language, medium, or writing system.
  • F. None of above.

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_69d8d387b5548190aa030dad2cb4947e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338f6da48190bdb374019d10db05 completed April 19, 2026, 7:57 p.m.
PD Predicate disambiguation batch_69e469e0025c81908f16ed4f922674af completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 11:37 a.m.