Triple
T1471452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abraham Zapruder |
E27142
|
entity |
| Predicate | compensationForZapruderFilmRights |
P29066
|
FINISHED |
| Object | 150000 USD |
—
|
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: 150000 USD | Statement: [Abraham Zapruder, compensationForZapruderFilmRights, 150000 USD]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compensationForZapruderFilmRights Context triple: [Abraham Zapruder, compensationForZapruderFilmRights, 150000 USD]
-
A.
capturedBy
Indicates that one entity has been seized, taken into control, or otherwise apprehended by another entity.
-
B.
studioSystemFilm
Indicates that a film was produced, distributed, or otherwise created under the control or framework of a particular studio system.
-
C.
independenceDay
Indicates the date or event on which an entity (typically a country or region) formally celebrates its independence from another governing authority.
-
D.
shootsAgainst
Indicates that one entity fires a projectile or weapon in the direction of, or in opposition to, another entity.
-
E.
cinematographyBy
Indicates that the cinematographic work (such as the camera work or visual style of a film or video) is created or supervised by a specified person or entity.
- F. None of above. chosen
Provenance (4 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. |
| PDg | Predicate description generation | batch_69a4c52bbb748190aaa804438d31f4c2 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8:01 p.m.