Triple

T20307889
Position Surface form Disambiguated ID Type / Status
Subject Y Kant Tori Read E510152 entity
Predicate originalCommercialPerformance P139608 FINISHED
Object poor 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: poor | Statement: [Y Kant Tori Read, originalCommercialPerformance, poor]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: originalCommercialPerformance
Context triple: [Y Kant Tori Read, originalCommercialPerformance, poor]
  • A. hasCommercialPerformance
    Indicates that an entity’s success or outcome is characterized in terms of its performance in the commercial or market context (e.g., sales, revenue, or profitability).
  • B. originalPerformanceFor
    Indicates that one entity is the original performance or execution from which another related version, recording, or representation is derived.
  • C. broadwayCommercialOutcome
    Indicates the commercial result or financial performance associated with a Broadway production or run.
  • D. performsMusicIn
    Indicates that an entity presents or plays music within a particular venue, event, or context.
  • E. performances
    Indicates that an entity stages, presents, or executes artistic or entertainment events for an audience.
  • F. None of above. chosen

Provenance (4 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_69e0b4c7491c8190961113c4283b10b0 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e677411cf08190ba7e98a4135b643a completed April 20, 2026, 6:58 p.m.
PD Predicate disambiguation batch_69e55b21b09081909e46691b6f45a07f completed April 19, 2026, 10:45 p.m.
PDg Predicate description generation batch_69e56702ad04819099c1c08f28d16809 completed April 19, 2026, 11:36 p.m.
Created at: April 16, 2026, 11:18 a.m.