Triple

T25510872
Position Surface form Disambiguated ID Type / Status
Subject Susy Hendrix E639373 entity
Predicate workPremieredIn P61113 FINISHED
Object Broadway
Broadway is New York City's famed theater district and the epicenter of American commercial stage productions, renowned for its large-scale musicals and plays.
 E16252 NE FINISHED

How this triple was built (3 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 | Statement: [Susy Hendrix, workPremieredIn, Broadway]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Broadway
Triple: [Susy Hendrix, workPremieredIn, Broadway]
Generated description
Broadway is New York City's famed theater district and the epicenter of American commercial stage productions, renowned for its large-scale musicals and plays.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: workPremieredIn
Context triple: [Susy Hendrix, workPremieredIn, Broadway]
  • A. premieredInWorkPremiereYear
    Indicates the year in which a work (such as a performance, film, or composition) had its first public premiere.
  • B. premieredWith
    Indicates that one entity made its first public debut or initial showing together with another entity, at the same time or in the same event.
  • C. sectionPremieredIn
    Indicates that a specific section or part of a work first premiered or was initially presented in a particular event, venue, or context.
  • D. premieredIn chosen
    Indicates that a creative work first publicly debuted or was initially presented in a particular place, event, or context.
  • E. premieredInProduction
    Indicates that a work (such as a play, film, or performance) had its first public showing or debut in a specific production.
  • F. None of above.

Provenance (6 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_69e75dbd09308190b6b5f0afdc12ec6d completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f606c79ad081908369605f72e65ca6 completed May 2, 2026, 2:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b744b7bc81908410eb93f7c96993 completed May 22, 2026, 8:06 p.m.
NEDg Description generation batch_6a10b7fa6d60819097ff930865af4032 completed May 22, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_6a10b94f8d808190b348d3207b85ab88 completed May 22, 2026, 8:15 p.m.
PD Predicate disambiguation batch_69f602ce79ec8190b8336c2b9de18ac7 completed May 2, 2026, 1:57 p.m.
Created at: April 21, 2026, 2:49 p.m.