Triple

T16866291
Position Surface form Disambiguated ID Type / Status
Subject James Gandolfini as Eddie Poole E410045 entity
Predicate portrayalReputation P52442 FINISHED
Object memorableVillainRoleForJamesGandolfini LITERAL 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: memorableVillainRoleForJamesGandolfini | Statement: [James Gandolfini as Eddie Poole, portrayalReputation, memorableVillainRoleForJamesGandolfini]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: portrayalReputation
Context triple: [James Gandolfini as Eddie Poole, portrayalReputation, memorableVillainRoleForJamesGandolfini]
  • A. portrayalReception chosen
    Indicates how a particular portrayal of someone or something is received, evaluated, or responded to by an audience or observers.
  • B. portrayalRecognition
    Indicates that one entity recognizes or identifies another entity as a portrayal or representation of a particular subject or character.
  • C. portrayalFeature
    Indicates that one entity serves as a characteristic, aspect, or attribute highlighted in the depiction or representation of another entity.
  • D. portrayalReceived
    Indicates that an entity has been depicted or represented by another entity, such as through an image, performance, or description.
  • E. portrayalLedTo
    Indicates that one entity’s portrayal of another caused or significantly contributed to a subsequent outcome, reaction, or state involving that other entity.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b5088f208190abfe937633ebe3fe completed April 18, 2026, 4:44 p.m.
PD Predicate disambiguation batch_69e32b8cbb048190878a259cc5be960e completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:24 a.m.