Triple
T14592531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spotlight (New York Film Festival program) |
E342477
|
entity |
| Predicate | visibilityLevel |
P74023
|
FINISHED |
| Object | high-profile |
—
|
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: high-profile | Statement: [Spotlight (New York Film Festival program), visibilityLevel, high-profile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visibilityLevel Context triple: [Spotlight (New York Film Festival program), visibilityLevel, high-profile]
-
A.
disclosureLevel
Indicates the extent or degree to which information is revealed, shared, or made accessible in a given context.
-
B.
visibilityRequirement
Indicates that one entity must be visible or perceivable under specified conditions for another entity, action, or rule to apply.
-
C.
visibilityStatus
chosen
Indicates the current level or state of how observable, accessible, or exposed an entity is within a given context.
-
D.
visibilityReason
Indicates the reason or cause for why something is visible or has become visible in a given context.
-
E.
representationLevel
Indicates the degree or layer at which something stands in for, models, or symbolizes something else (e.g., more concrete vs. more abstract representation).
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb43480d8819084a707e56da2c237 |
completed | April 14, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69de656a953481909a4645b004c40de7 |
completed | April 14, 2026, 4:03 p.m. |
Created at: April 10, 2026, 1:24 a.m.