Triple
T27260521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaVona Fay Golden |
E687748
|
entity |
| Predicate | awardIndirectlyAssociatedWith |
P219
|
FINISHED |
| Object | Academy Award for Best Supporting Actress for Allison Janney |
—
|
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: Academy Award for Best Supporting Actress for Allison Janney | Statement: [LaVona Fay Golden, awardIndirectlyAssociatedWith, Academy Award for Best Supporting Actress for Allison Janney]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardIndirectlyAssociatedWith Context triple: [LaVona Fay Golden, awardIndirectlyAssociatedWith, Academy Award for Best Supporting Actress for Allison Janney]
-
A.
relatedAward
chosen
Indicates that there is an award connected or associated with the subject entity, such as an honor, prize, or recognition related to it.
-
B.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
C.
awardGivenBy
Indicates that an award is conferred or presented by one entity to another.
-
D.
awardAssociation
Indicates a relationship where an entity is connected to, or recognized by, a specific award or awarding body.
-
E.
awardIsPrecursorOf
Indicates that one award precedes and leads to another award in a sequence or progression.
- 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_69ef3557abc481908bf3c146f0f3356a |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f6c49627908190b3553474c7c3072b |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f23ae081909a52801266063a3c |
completed | May 3, 2026, 3:41 a.m. |
Created at: April 27, 2026, 10:52 a.m.