Triple
T12670072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Triple Crown of Acting |
E302653
|
entity |
| Predicate | componentAwardDomain |
P106208
|
FINISHED |
| Object | 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: film | Statement: [Triple Crown of Acting, componentAwardDomain, film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: componentAwardDomain Context triple: [Triple Crown of Acting, componentAwardDomain, film]
-
A.
awardedFrom
Indicates that one entity has received an award, prize, or honor that originates from or is granted by another entity.
-
B.
awardingSector
Indicates the sector or organizational domain that grants or issues an award, contract, or recognition to another entity.
-
C.
relatedAward
Indicates that there is an award connected or associated with the subject entity, such as an honor, prize, or recognition related to it.
-
D.
awardTo
Indicates that an award, prize, or honor is given or assigned to a particular recipient.
-
E.
isAward
Indicates that one entity functions as an award or prize that is given or conferred to another entity.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ae493481908f82e0d05dce20bd |
completed | April 10, 2026, 8:46 p.m. |
| PD | Predicate disambiguation | batch_69d960bb64ec8190bd0400cf0cc8b0a7 |
completed | April 10, 2026, 8:42 p.m. |
| PDg | Predicate description generation | batch_69d961acadb8819098de743bc951fedb |
completed | April 10, 2026, 8:46 p.m. |
Created at: April 9, 2026, 5:20 p.m.