Triple
T23473790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leo Robin |
E570201
|
entity |
| Predicate | workedOn |
P3
|
FINISHED |
| Object | Broadway musicals |
—
|
NE NERFINISHED |
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: [Leo Robin, workedOn, Broadway musicals]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broadway musicals Context triple: [Leo Robin, workedOn, Broadway musicals]
-
A.
Broadway theater
chosen
Broadway theater is a style of live, large-scale musical and dramatic performance associated with New York City’s famed theater district, known for its professional productions and cultural influence.
-
B.
Broadway Music Theatre
Broadway Music Theatre is a large, Broadway-style live entertainment venue in Tokyo DisneySea known for staging elaborate musical shows.
-
C.
Broadway
Broadway is a major thoroughfare that runs through the hamlet of Massapequa in Nassau County, New York.
-
D.
Broadway
Broadway is a major historic thoroughfare in Galveston, Texas, known for its grand 19th-century mansions and role as a prominent residential and cultural corridor.
-
E.
Broadway
Broadway is a major thoroughfare in San Francisco known for its nightlife, entertainment venues, and role as a key east–west street in the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245af8a88819084f2704f6d265a92 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a70363488190bcbdedec5c2a945c |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:59 p.m.