Triple
T1471449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abraham Zapruder |
E27142
|
entity |
| Predicate | filmFormatOfZapruderFilm |
P24651
|
FINISHED |
| Object | 8 mm |
—
|
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: 8 mm | Statement: [Abraham Zapruder, filmFormatOfZapruderFilm, 8 mm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: filmFormatOfZapruderFilm Context triple: [Abraham Zapruder, filmFormatOfZapruderFilm, 8 mm]
-
A.
studioSystemFilm
Indicates that a film was produced, distributed, or otherwise created under the control or framework of a particular studio system.
-
B.
filmPerforationType
Indicates the specific style or pattern of perforations used along the edges of a film stock.
-
C.
filmType
Indicates the specific category or genre that a film belongs to.
-
D.
filmingTechnique
Indicates the specific method or style used to capture visual content during the filming process.
-
E.
filmMedium
chosen
Indicates the physical or technical format (such as film stock, digital, or video) in which a film is recorded or presented.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5db55948190ae5262a70a161b87 |
completed | March 1, 2026, 11:03 p.m. |
| PD | Predicate disambiguation | batch_69a4c48350d88190a81bd149103f93e3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:01 p.m.