Triple
T10364833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Biography |
E244224
|
entity |
| Predicate | usesArchivalFootage |
P22752
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Biography, usesArchivalFootage, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesArchivalFootage Context triple: [Biography, usesArchivalFootage, yes]
-
A.
usesFootageType
chosen
Indicates that one entity employs or incorporates a particular type or category of footage in its content or production.
-
B.
usesFilmFormat
Indicates that one entity employs or is recorded in a particular film format associated with the other entity.
-
C.
usedInProductionOfFilm
Indicates that something (such as a resource, tool, or material) was utilized during the making or production process of a film.
-
D.
usedForRecordingBy
Indicates that something serves as a medium, tool, or device that is employed by an agent to make a recording.
-
E.
recordedForFilm
Indicates that an audio or performance was captured specifically for use in a film production.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e964a53c8190b748e80850e96656 |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dfa657f481909cc5cc8fec00ad19 |
completed | April 7, 2026, 10:42 a.m. |
Created at: April 6, 2026, noon