Triple
T29110543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadway (Downtown Los Angeles) corridor |
E736887
|
entity |
| Predicate | peakTheaterEra |
P166341
|
FINISHED |
| Object | 1910s–1930s |
—
|
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: 1910s–1930s | Statement: [Broadway (Downtown Los Angeles) corridor, peakTheaterEra, 1910s–1930s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peakTheaterEra Context triple: [Broadway (Downtown Los Angeles) corridor, peakTheaterEra, 1910s–1930s]
-
A.
musicalTheatreEra
Indicates the historical period or stylistic era of musical theatre with which an entity is associated.
-
B.
filmEra
Indicates the historical or stylistic period in which a film was produced or to which its cinematic style belongs.
-
C.
musicalEra
Indicates the historical musical period or style with which an entity (such as a composition, performance, or musician) is associated.
-
D.
firstPerformanceEra
Indicates the time period during which an entity’s earliest known performance or debut took place.
-
E.
historicalTheater
Indicates that an entity is a theater recognized for its historical significance or heritage.
- F. None of above. chosen
Provenance (4 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f661be0108819090cae6a19ae4157d |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 28, 2026, 11:18 a.m.