Triple
T37623867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esther Blodgett |
E936146
|
entity |
| Predicate | associatedWithAwardInStory |
P57673
|
FINISHED |
| Object | Academy Award for Best Actress (in-film narrative) |
—
|
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: Academy Award for Best Actress (in-film narrative) | Statement: [Esther Blodgett, associatedWithAwardInStory, Academy Award for Best Actress (in-film narrative)]
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 (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_69f76ed24820819081bafd36e9088701 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.