Triple
T21200615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2nd Academy Awards |
E522443
|
entity |
| Predicate | ceremonyDuration |
P143529
|
FINISHED |
| Object | short |
—
|
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: short | Statement: [2nd Academy Awards, ceremonyDuration, short]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ceremonyDuration Context triple: [2nd Academy Awards, ceremonyDuration, short]
-
A.
ceremonyTiming
Indicates the temporal relationship specifying when a ceremony occurs or is scheduled to occur.
-
B.
ceremonyState
Indicates the current status or phase of a ceremony within its overall lifecycle.
-
C.
ceremonyHeld
Indicates that a formal ceremony or ritual event has taken place at a particular time and/or location.
-
D.
ceremonyNumber
Indicates the specific ordinal or identifying number assigned to a particular ceremony within a set or sequence of ceremonies.
-
E.
ceremonyKnownAs
Indicates that a particular ceremony is referred to or recognized by a specific name or title.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73430c5a08190aeb6a62eec0f43a3 |
completed | April 21, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
| PDg | Predicate description generation | batch_69e5fa92a2448190896c022dd27511ad |
completed | April 20, 2026, 10:06 a.m. |
Created at: April 16, 2026, 3:18 p.m.