Triple

T12318716
Position Surface form Disambiguated ID Type / Status
Subject Joseph Nederlander E293671 entity
Predicate notableFamilyEnterprise P8006 FINISHED
Object Broadway theatre chain 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 theatre chain | Statement: [Joseph Nederlander, notableFamilyEnterprise, Broadway theatre chain]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableFamilyEnterprise
Context triple: [Joseph Nederlander, notableFamilyEnterprise, Broadway theatre chain]
  • A. notableEnterprise
    Indicates that an entity is a business or commercial organization recognized for its significance, prominence, or impact.
  • B. notableFamilyFor
    Indicates that a family is particularly recognized or distinguished for a specific person, achievement, role, or characteristic.
  • C. notableBusinessType
    Indicates that an entity is notably associated with, characterized by, or best known for a particular type of business.
  • D. notableHolderFamily
    Indicates that a particular family is notably associated with holding, possessing, or being custodians of the referenced entity.
  • E. relatedFamilyBusiness chosen
    Indicates that there is a connection between entities through ownership, management, or involvement in the same family-run business or businesses.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f621570819091ee1db2609233ea completed April 10, 2026, 6:20 p.m.
PD Predicate disambiguation batch_69d93ec5be788190b82d2edc6a0f1095 completed April 10, 2026, 6:17 p.m.
Created at: April 8, 2026, 9:53 p.m.