Triple
T5528710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warner Theatre, New York City |
E144991
|
entity |
| Predicate | cityForPremieresOf |
P64741
|
FINISHED |
| Object | Hollywood films |
—
|
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: Hollywood films | Statement: [Warner Theatre, New York City, cityForPremieresOf, Hollywood films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityForPremieresOf Context triple: [Warner Theatre, New York City, cityForPremieresOf, Hollywood films]
-
A.
premieredIn
Indicates that a creative work first publicly debuted or was initially presented in a particular place, event, or context.
-
B.
city1
Indicates that the subject is classified as a city.
-
C.
conventionCity
Indicates that a city is the location where a particular convention or conference is held.
-
D.
countryOfPremiere
Indicates the country in which a work (such as a film, show, or performance) was first publicly premiered.
-
E.
announcedInCity
Indicates that an announcement or declaration was formally made within a particular city.
- 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_69c008f9955881909bfa8348b56b4739 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f8b6c348190b7d414dc1907d09a |
completed | March 22, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69c01b0c50e48190a1b03ecd20ca440b |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:34 p.m.