Triple
T36297834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bloody Bloody Andrew Jackson |
E893417
|
entity |
| Predicate | theatricalPremiereCity |
P64741
|
FINISHED |
| Object | New York City |
—
|
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: New York City | Statement: [Bloody Bloody Andrew Jackson, theatricalPremiereCity, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: theatricalPremiereCity Context triple: [Bloody Bloody Andrew Jackson, theatricalPremiereCity, New York City]
-
A.
cityForPremieresOf
chosen
Indicates the city where premieres of a work, event, or production take place.
-
B.
MetropolitanOperaPremiereCity
Indicates the city where a given work had its premiere performance at the Metropolitan Opera.
-
C.
notableCityInTheater
Indicates that a city holds particular significance or prominence within a specified theater (such as a military, cultural, or operational region).
-
D.
originalBroadwayCity
Indicates the city where a theatrical production first opened on Broadway.
-
E.
worldPremierePlace
Indicates the place where something (typically a work or event) was first publicly premiered in the world.
- F. None of above.
Provenance (3 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_69f76e4a61f0819084a2b68dbbb4efc6 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.