Triple
T31373132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Million Dreams |
E800217
|
entity |
| Predicate | associatedAwardNominations |
P32504
|
FINISHED |
| Object | nominated in various local and fan-voted awards |
—
|
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: nominated in various local and fan-voted awards | Statement: [A Million Dreams, associatedAwardNominations, nominated in various local and fan-voted awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedAwardNominations Context triple: [A Million Dreams, associatedAwardNominations, nominated in various local and fan-voted awards]
-
A.
academyAwardNominations
Indicates that an entity has received one or more nominations for an Academy Award (Oscars).
-
B.
alsoNominatedFor
Indicates that an entity which received one nomination was additionally nominated for another related award or category.
-
C.
nominatedIn
chosen
Indicates that an entity has been formally put forward as a candidate for an award, position, or recognition within a specific event, context, or time period.
-
D.
academyAwardsNominationsCount
Indicates the number of times an entity has been nominated for an Academy Award.
-
E.
associatedWithAwardNominatedFilm
Indicates that an entity has a relationship to a film that has been nominated for an award.
- 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_69f224e84da08190abfc2f17494a33c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 29, 2026, 9:18 p.m.