Triple
T20468919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Thunder |
E502130
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Candy Clark |
—
|
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: Candy Clark | Statement: [Blue Thunder, starring, Candy Clark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Candy Clark Context triple: [Blue Thunder, starring, Candy Clark]
-
A.
Candy Clark
chosen
Candy Clark is an American actress best known for her Academy Award–nominated role in the coming-of-age film "American Graffiti."
-
B.
Beverly Willis
Beverly Willis was an influential American architect and pioneer for women in architecture, known for her innovative design work and advocacy for gender equity in the built environment.
-
C.
Marlene Owens
Marlene Owens is known as the daughter of legendary American track and field athlete Jesse Owens and his wife, Minnie Ruth Solomon.
-
D.
Cynthia Snodgrass
Cynthia Snodgrass is the daughter of Pulitzer Prize–winning American poet W. D. Snodgrass.
-
E.
Marlene Smith
Marlene Smith is a theatre producer best known for her work on the Broadway musical "The Boy from Oz" starring Hugh Jackman.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4ae5f1081908768b0c9a3a0bf38 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6995f753081909bbe03f7c251d9c1 |
completed | April 20, 2026, 9:23 p.m. |
Created at: April 16, 2026, 11:33 a.m.