Triple

T1129734
Position Surface form Disambiguated ID Type / Status
Subject Death of a Salesman E23000 entity
Predicate numberOfBroadwayPerformances P25301 FINISHED
Object 742 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: 742 | Statement: [Death of a Salesman, numberOfBroadwayPerformances, 742]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: numberOfBroadwayPerformances
Context triple: [Death of a Salesman, numberOfBroadwayPerformances, 742]
  • A. hasBroadwayTitle
    Indicates that an entity is associated with a specific title used for its Broadway production or representation.
  • B. originalBroadwayStar
    Indicates that the subject was a member of the original Broadway cast in the specified role or production.
  • C. originalBroadwayRunLength
    Indicates the duration of time that a production’s initial run on Broadway lasted.
  • D. numberOfActs
    Indicates the total count of discrete acts or actions associated with a given entity or event.
  • E. broadwayRevival
    Indicates that a theatrical production is a new staging or restaging of a show on Broadway after its original Broadway run.
  • 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_69a493ec75988190b63a11bafaec29b4 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc4bc21881909dcfe628f59f3e8c completed March 1, 2026, 10:23 p.m.
PD Predicate disambiguation batch_69a4bb48de2081909a0dce005b1c9df1 completed March 1, 2026, 10:18 p.m.
PDg Predicate description generation batch_69a4bc47fce48190825d3a877251f789 completed March 1, 2026, 10:23 p.m.
Created at: March 1, 2026, 7:44 p.m.