Triple
T12165414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sight & Sound |
E289820
|
entity |
| Predicate | pollInfluence |
P103104
|
FINISHED |
| Object | canon formation in world 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: canon formation in world cinema | Statement: [Sight & Sound, pollInfluence, canon formation in world cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pollInfluence Context triple: [Sight & Sound, pollInfluence, canon formation in world cinema]
-
A.
politicalInfluenceIn
Indicates that an entity exerts or holds political influence within a specified place, jurisdiction, or political context.
-
B.
politicalInfluencePeak
Indicates the time or context in which an entity’s political influence reaches its highest level or greatest impact.
-
C.
popularVote
Indicates the number or share of votes directly cast by the general electorate for a candidate or option in an election.
-
D.
popularVotes
Indicates the number of votes an entity (such as a candidate or option) receives directly from individual voters in an election or decision process.
-
E.
politicalCamp
Indicates that two entities are aligned with, belong to, or are associated with the same political group, faction, or ideological camp.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d916165c708190bf0745e125589f46 |
completed | April 10, 2026, 3:24 p.m. |
Created at: April 8, 2026, 9:50 p.m.