Triple
T26758535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bob Bennett |
E674734
|
entity |
| Predicate | settingMedium |
P138515
|
FINISHED |
| Object | live-action cinema |
—
|
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: live-action cinema | Statement: [Bob Bennett, settingMedium, live-action cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: settingMedium Context triple: [Bob Bennett, settingMedium, live-action cinema]
-
A.
controlMedium
Indicates that an entity regulates, directs, or influences another entity through a particular medium or channel.
-
B.
setting
Indicates the place, time, or context in which an event, action, or interaction occurs.
-
C.
targetMedium
Indicates the medium or channel through which an action, message, or effect is directed or intended to be delivered.
-
D.
mediaSettingFor
Indicates a configuration or setting that is applied to or associated with a particular media item or media context.
-
E.
subjectMedium
chosen
Indicates the medium or channel through which the subject is expressed, communicated, or realized.
- 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6562fd3488190be1acd8c526a28d2 |
completed | May 2, 2026, 7:53 p.m. |
| PD | Predicate disambiguation | batch_69f651a731508190bb0c8c2462eba224 |
completed | May 2, 2026, 7:33 p.m. |
Created at: April 27, 2026, 3:56 a.m.