Triple
T36183025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 61st Academy Awards |
E1046765
|
entity |
| Predicate | openingNumberCharacter |
P192459
|
FINISHED |
| Object | Snow White |
—
|
NE NERFINISHED |
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: Snow White | Statement: [61st Academy Awards, openingNumberCharacter, Snow White]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: openingNumberCharacter Context triple: [61st Academy Awards, openingNumberCharacter, Snow White]
-
A.
openingCharacter
Indicates that one entity is the first character or symbol at the beginning of another entity (such as a string, word, or text).
-
B.
openingMovementCharacter
Indicates the characteristic or quality that defines how the opening movement of a work is expressed or perceived.
-
C.
openingName
Indicates the name or title assigned to a specific opening, such as an initial move, phase, or starting configuration in a structured sequence or activity.
-
D.
openingNumberPerformer
chosen
Indicates that an entity performs or is responsible for the opening number in a performance or event.
-
E.
openingSettingOf
Indicates that one entity serves as the initial or first setting/location in which the other entity begins or is introduced.
- 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_69f76e3c1b10819081fc7a807a71cf84 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: May 3, 2026, 4:08 p.m.