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.