Triple

T7954415
Position Surface form Disambiguated ID Type / Status
Subject Tony Award for Best Actor in a Musical E184695 entity
Predicate eligibleProductions P33286 FINISHED
Object Broadway musicals 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: Broadway musicals | Statement: [Tony Award for Best Actor in a Musical, eligibleProductions, Broadway musicals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eligibleProductions
Context triple: [Tony Award for Best Actor in a Musical, eligibleProductions, Broadway musicals]
  • A. eligibleProductionType chosen
    Indicates that a given entity qualifies for or is allowed to participate in a specified type or category of production.
  • B. producesFor
    Indicates that one entity creates, manufactures, or generates something specifically intended for another entity’s use, benefit, or distribution.
  • C. eligibleFrom
    Indicates that a subject becomes or is considered eligible starting from a specified point in time or condition.
  • D. eligibleWorks
    Indicates that certain works meet the required criteria or conditions to qualify for a specified status, use, or consideration.
  • E. eligibleProject
    Indicates that a project satisfies the required conditions or criteria to qualify for a particular status, process, or benefit.
  • 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_69ca8292cba881908a64427b938dac47 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b5f74308190aa63a22c3d5feacc completed March 31, 2026, 3:11 a.m.
PD Predicate disambiguation batch_69cb0473d7dc8190a25d0cf460b9fcbe completed March 30, 2026, 11:17 p.m.
Created at: March 30, 2026, 5:11 p.m.