Triple
T37623867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esther Blodgett |
E936146
|
entity |
| Predicate | associatedWithAwardInStory |
—
|
GENERATED |
| Object | Academy Award for Best Actress (in-film narrative) |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithAwardInStory Context triple: [Esther Blodgett, associatedWithAwardInStory, Academy Award for Best Actress (in-film narrative)]
-
A.
hasAwardInStory
chosen
Indicates that an entity is depicted within a narrative or story as having received a particular award.
-
B.
associatedWithPersonInStory
Indicates that one entity has a connection or involvement with a specific person within the context of a story.
-
C.
awardInStoryline
Indicates that an award is given to a character or entity within the context of a specific narrative or storyline.
-
D.
associatedWithAwardRecipient
Indicates a relationship where an entity is connected to or linked with the recipient of a specific award.
-
E.
associatedWithAwardWinningScore
Indicates that an entity is connected to or involved with a score that has received an award.
- F. None of above.
Provenance (1 batch)
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_69f76ed24820819081bafd36e9088701 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:18 p.m.