Triple
T20389973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dead Man |
E498058
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Crispin Glover |
—
|
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: Crispin Glover | Statement: [Dead Man, starring, Crispin Glover]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crispin Glover Context triple: [Dead Man, starring, Crispin Glover]
-
A.
Crispin Glover
chosen
Crispin Glover is an American actor, filmmaker, and author best known for his eccentric screen presence and memorable roles in films such as "Back to the Future" and "River's Edge."
-
B.
Billy Hartnett
Billy Hartnett is the commonly used name for William Hartnett, likely referring to him in informal or public contexts.
-
C.
Chris Fehn
Chris Fehn is an American percussionist and musician best known for his long tenure as a masked member of the heavy metal band Slipknot.
-
D.
Glenn Gilger
Glenn Gilger is an American child voice actor best known for providing the voice of one of the Peanuts characters in the animated film "A Boy Named Charlie Brown."
-
E.
Michael Culver
Michael Culver is a British actor known for his character roles in film and television, including appearances in productions such as "A Passage to India" and "The Empire Strikes Back."
- 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790e65a081909832855758fffd14 |
completed | April 20, 2026, 7:05 p.m. |
Created at: April 16, 2026, 11:28 a.m.