Triple
T11638720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Neville |
E276596
|
entity |
| Predicate | featuredInFormat |
P80112
|
FINISHED |
| Object | silent black-and-white film |
—
|
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: silent black-and-white film | Statement: [George Neville, featuredInFormat, silent black-and-white film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredInFormat Context triple: [George Neville, featuredInFormat, silent black-and-white film]
-
A.
featuredIn
Indicates that one entity appears or is prominently included within another entity, such as a person, work, or item being showcased in a larger work, event, or context.
-
B.
featuredOn
Indicates that one entity is prominently presented, highlighted, or showcased on or within another entity (such as a platform, publication, or product).
-
C.
presentedIn
Indicates that something is shown, displayed, or formally introduced within a particular context, medium, event, or setting.
-
D.
featuredInDirector
Indicates that an entity appears as a featured element within a director’s work, such as a film, show, or other directed production.
-
E.
portrayalFormat
chosen
Indicates the medium or format in which something is portrayed or represented (e.g., painting, sculpture, film, digital).
- 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_69d6aafa51148190ab84940694c00235 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a25e90c08190b7fb73939a2be3d7 |
completed | April 10, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d85dd94bdc819091fa2ed33eb31624 |
completed | April 10, 2026, 2:18 a.m. |
Created at: April 8, 2026, 9:39 p.m.