Triple
T505091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Art Direction |
E10485
|
entity |
| Predicate | successorCategory |
P14487
|
FINISHED |
| Object | Best Production Design |
—
|
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: Best Production Design | Statement: [Academy Award for Best Art Direction, successorCategory, Best Production Design]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorCategory Context triple: [Academy Award for Best Art Direction, successorCategory, Best Production Design]
-
A.
successor
Indicates that one entity directly follows another in an ordered sequence or position.
-
B.
successorClass
Indicates that one class directly follows or replaces another class in a sequence or hierarchy.
-
C.
successorOperator
Indicates that one operator directly follows another in a defined sequence or ordering.
-
D.
successorLine
Indicates that one line directly follows another in a sequence or ordered arrangement.
-
E.
successorState
Indicates that one state directly follows another as the immediate next state in a sequence or process.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f14b2acc8190818e8a53eac69c54 |
completed | Feb. 28, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69a2edfce7a08190a408bc019de60d5d |
completed | Feb. 28, 2026, 1:30 p.m. |
| PDg | Predicate description generation | batch_69a2eebbd70481908b462296671de67b |
completed | Feb. 28, 2026, 1:33 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.