Triple
T15311044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aisling |
E366035
|
entity |
| Predicate | isKnownInContextOf |
P118061
|
FINISHED |
| Object | British cinematography |
—
|
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: British cinematography | Statement: [Aisling, isKnownInContextOf, British cinematography]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isKnownInContextOf Context triple: [Aisling, isKnownInContextOf, British cinematography]
-
A.
namedInContextOf
Indicates that an entity is mentioned or identified specifically within a particular context, situation, or frame of reference.
-
B.
isRaisedInContextOf
Indicates that an entity is brought up, discussed, or introduced within a particular situational, thematic, or conversational context.
-
C.
isReleasedInContextOf
Indicates that an entity is released or made available specifically within, or as part of, a particular context, situation, or framework.
-
D.
hasReferentKnownFor
Indicates that the referent (the thing being referred to) is known or notable for a particular characteristic, role, or achievement.
-
E.
implementedInContextOf
Indicates that something (such as a method, feature, or process) is carried out or realized within a particular surrounding situation, framework, or set of conditions.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd2d5a88190aead748920f93d47 |
completed | April 16, 2026, 1:35 a.m. |
| PD | Predicate disambiguation | batch_69deca935e2c8190b640987ddfc542b9 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:16 a.m.