Triple

T26696743
Position Surface form Disambiguated ID Type / Status
Subject John Dossett E673041 entity
Predicate theatreDomain P117655 FINISHED
Object Broadway
Broadway is New York City’s famed theater district and the center of American commercial stage productions, especially 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: [John Dossett, theatreDomain, 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: [John Dossett, theatreDomain, Broadway]
Generated description
Broadway is New York City’s famed theater district and the center of American commercial stage productions, especially large-scale musicals and plays.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: theatreDomain
Context triple: [John Dossett, theatreDomain, Broadway]
  • A. theatreOf
    Indicates that an event, action, or operation takes place within or is primarily associated with a particular theatre or venue.
  • B. theatre
    Indicates that an entity is a theater or is associated with theatrical performances or activities.
  • C. partOfTheatre
    Indicates that one entity is a component, section, or subdivision of a theatre.
  • D. relatedTheatre chosen
    Indicates that there is an association or connection between an entity and a theatre, such as relevance, involvement, or contextual linkage.
  • E. théâtre
    Indicates a relationship where an entity is associated with, takes place in, or is characterized as a theater or theatrical performance context.
  • 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_69eecda2b49c8190a6c481cfc4c07954 completed April 27, 2026, 2:44 a.m.
NER Named-entity recognition batch_69f6177c7ddc8190b6c96e97be69030d completed May 2, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a120935e648819094488ef2e739297b completed May 23, 2026, 8:08 p.m.
NEDg Description generation batch_6a120a567424819083cc2364aa6ec9da completed May 23, 2026, 8:13 p.m.
NED2 Entity disambiguation (via description) batch_6a120b5561cc81909195b6d74ec74b50 completed May 23, 2026, 8:17 p.m.
PD Predicate disambiguation batch_69f60b8bb0d08190ab5a9a2a8847c6f4 completed May 2, 2026, 2:34 p.m.
Created at: April 27, 2026, 3:29 a.m.