Triple

T35226434
Position Surface form Disambiguated ID Type / Status
Subject "I coulda been a contender" E1017108 entity
Predicate associatedWithAwardedPerformance GENERATED
Object Marlon Brando's Academy Award for Best Actor UNRECOGNIZED GENERATED

How this triple was built (1 step)

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.

PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: associatedWithAwardedPerformance
Context triple: ["I coulda been a contender", associatedWithAwardedPerformance, Marlon Brando's Academy Award for Best Actor]
  • A. associatedWithAwardRecipient
    Indicates a relationship where an entity is connected to or linked with the recipient of a specific award.
  • B. hasAwardedPerformanceBy
    Indicates that an award or recognition has been given to a performance by a specific entity (such as a person or organization).
  • C. associatedWithAwardWinningScore
    Indicates that an entity is connected to or involved with a score that has received an award.
  • D. associatedWithAwardRecognition chosen
    Indicates a relationship where an entity has a connection to a specific award or recognition, such as receiving, being nominated for, or otherwise being formally linked to it.
  • E. hasRelativeWithAward
    Indicates that one entity has a relative who has received an award.
  • F. None of above.

Provenance (1 batch)

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_69f76de12e4c8190bc46b71a32858356 completed May 3, 2026, 3:46 p.m.
Created at: May 3, 2026, 4:02 p.m.