Triple
T16847582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Used Cars |
E409583
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Gerrit Graham |
E1104957
|
NE 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: Gerrit Graham | Statement: [Used Cars, starring, Gerrit Graham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gerrit Graham Context triple: [Used Cars, starring, Gerrit Graham]
-
A.
Gerrit Graham
chosen
Gerrit Graham is an American character actor and writer known for his eccentric and comedic roles in films such as "Phantom of the Paradise," "Used Cars," and numerous television series.
-
B.
Joseph Hewes
Joseph Hewes was an American merchant and statesman from North Carolina who signed the Declaration of Independence as a delegate to the Continental Congress.
-
C.
Thomas Holbrook
Thomas Holbrook is a relatively obscure individual whose name is shared with several public figures, including politicians and academics, making precise identification dependent on additional context.
-
D.
Estey C. Graham
Estey C. Graham was the wife of influential value-investing pioneer Benjamin Graham.
-
E.
Samuel Ellis
Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b376bac48190ae09f29a28c55f8c |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2a4c2a881908d2797f6e61792d3 |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:24 a.m.