Triple
T728287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Picture |
E14775
|
entity |
| Predicate | hasPrecursorName |
P3444
|
FINISHED |
| Object | Outstanding Picture |
—
|
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: Outstanding Picture | Statement: [Academy Award for Best Picture, hasPrecursorName, Outstanding Picture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrecursorName Context triple: [Academy Award for Best Picture, hasPrecursorName, Outstanding Picture]
-
A.
citedAsPrecursorOf
Indicates that one entity is referenced or recognized as an earlier work, influence, or foundation that contributed to the development of another entity.
-
B.
hasHistoricalPrecursor
chosen
Indicates that one entity existed earlier and served as a predecessor, model, or influential forerunner to the other in a historical context.
-
C.
predecessorName
Indicates that the value is the name of an entity that directly precedes another in an ordered sequence or lineage.
-
D.
hasNameOrigin
Indicates that the origin or source of an entity’s name is specified by the related entity.
-
E.
hasSymbolNamedAfter
Indicates that one entity has a symbol whose name is derived from or dedicated to another entity.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a64adf2c81908e48090be35dd9d9 |
completed | March 1, 2026, 8:49 p.m. |
| PD | Predicate disambiguation | batch_69a4a4f839608190878a60eb7a044ed9 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.