Triple
T35188822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Capitan |
E1016062
|
entity |
| Predicate | firstNewYorkTheatre |
P206865
|
FINISHED |
| Object | Broadway Theatre, New York City, United States |
E304979
|
NE 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: Broadway Theatre, New York City, United States | Statement: [El Capitan, firstNewYorkTheatre, Broadway Theatre, New York City, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstNewYorkTheatre Context triple: [El Capitan, firstNewYorkTheatre, Broadway Theatre, New York City, United States]
-
A.
firstPerformanceTheatre
Indicates the theatre where an entity (such as a play or performance) was first performed.
-
B.
firstBroadwayProductionTheatre
Indicates the theatre where an entity’s first Broadway production was staged.
-
C.
originalTheatreOfPremiere
Indicates the theatre where a work was first premiered or originally performed.
-
D.
firstStagedOperaOf
Indicates that one opera is the first opera by a given composer or entity to have been staged or performed.
-
E.
firstBroadwayOrOffBroadwayRun
Indicates the production in which a work or performer had their first run on Broadway or Off-Broadway.
- F. None of above. chosen
Provenance (5 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_69f76ddd815c8190b822eea06630f9fb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a37fb1ff96c8190b8fa5990a6c3b3f9 |
completed | June 21, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_6a037a016960819093ed4990fb4d9d36 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c82179081908325a59b8539b3a8 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:02 p.m.