Triple
T29789772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kim Kardashian "Break the Internet" Paper magazine cover |
E756369
|
entity |
| Predicate | locationOfShoot |
P39501
|
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: [Kim Kardashian "Break the Internet" Paper magazine cover, locationOfShoot, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationOfShoot Context triple: [Kim Kardashian "Break the Internet" Paper magazine cover, locationOfShoot, New York City]
-
A.
placeOfShooting
Indicates the location where a shooting event took place.
-
B.
hasShootingLocation
chosen
Indicates that an audiovisual work was filmed or recorded at a particular location.
-
C.
allegedShooterLocation
Indicates the place where a person is claimed or reported to have carried out a shooting.
-
D.
captureLocation
Indicates the place where an entity or event is captured, recorded, or taken.
-
E.
plotLocation
Indicates the relationship between a creative work and the place or setting where its story or events occur.
- 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_69f22451fb748190bbdbab401280affb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_6a0059f4ffe481908dc500cee9051148 |
completed | May 10, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_6a00593a3c1881909b2ff1a29eb474b3 |
completed | May 10, 2026, 10:08 a.m. |
Created at: April 29, 2026, 5:11 p.m.