Triple
T23730514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bukowski: Born into This |
E586396
|
entity |
| Predicate | usesArchivalFootageOf |
P22752
|
FINISHED |
| Object | Charles Bukowski |
—
|
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: Charles Bukowski | Statement: [Bukowski: Born into This, usesArchivalFootageOf, Charles Bukowski]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesArchivalFootageOf Context triple: [Bukowski: Born into This, usesArchivalFootageOf, Charles Bukowski]
-
A.
usesFootageType
chosen
Indicates that one entity employs or incorporates a particular type or category of footage in its content or production.
-
B.
usesStills
Indicates that one entity employs or incorporates still images or photographs as part of its content, process, or representation.
-
C.
includesNewFootageWith
Indicates that one entity (such as a media release or edition) contains additional or previously unseen footage associated with another entity.
-
D.
originalFootageFilmedInYear
Indicates that the original footage associated with an entity was filmed in the specified year.
-
E.
usedInProductionOfFilm
Indicates that something (such as a resource, tool, or material) was utilized during the making or production process of a film.
- 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_69e24907dc9c8190be074c9c96a0ec2d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b9193b14819096f1c7b11a441569 |
completed | April 29, 2026, 7:54 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:09 p.m.