Triple
T26635107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Kelly |
E668612
|
entity |
| Predicate | usedAsFootageIn |
P117395
|
FINISHED |
| Object | Sunset Boulevard |
—
|
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: Sunset Boulevard | Statement: [Queen Kelly, usedAsFootageIn, Sunset Boulevard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsFootageIn Context triple: [Queen Kelly, usedAsFootageIn, Sunset Boulevard]
-
A.
usesFootageType
Indicates that one entity employs or incorporates a particular type or category of footage in its content or production.
-
B.
usedInProductionOfFilm
Indicates that something (such as a resource, tool, or material) was utilized during the making or production process of a film.
-
C.
includesNewFootageWith
Indicates that one entity (such as a media release or edition) contains additional or previously unseen footage associated with another entity.
-
D.
hasTypeOfUseInFilm
Indicates that something is associated with a specific manner or category of use within the context of a film.
-
E.
usedByMediaIn
chosen
Indicates that something is employed or utilized within a particular media work or medium.
- 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_69ee9d0024b8819090a7c8cf669a3b6c |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6cee45590819086e489bfccbe4ac3 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1188708190b8f0f56e595e6057 |
completed | May 3, 2026, 4:16 a.m. |
Created at: April 27, 2026, 2:26 a.m.