Triple
T19289320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grace Van Dien |
E482397
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | James Mitchum |
—
|
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: James Mitchum | Statement: [Grace Van Dien, relative, James Mitchum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Mitchum Context triple: [Grace Van Dien, relative, James Mitchum]
-
A.
James Mitchum
chosen
James Mitchum is an American actor and the eldest son of legendary film star Robert Mitchum, known for appearing in several films from the 1950s onward.
-
B.
John Mitchum
John Mitchum was an American character actor and writer, known for his supporting roles in film and television and for being part of the Mitchum acting family.
-
C.
Robert Mitchum
Robert Mitchum was an American film actor renowned for his tough, laconic screen persona in classic noir, Western, and war films from the 1940s through the 1970s.
-
D.
James Hoyt
James Hoyt is an individual notable enough to be recognized as a prominent bearer of the Hoyt surname.
-
E.
Lee Sawyer
Lee Sawyer is a character from the thriller novel "Total Control," involved in the book’s high-stakes conspiracy and suspenseful plot.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc050a888190ac204d1e736200c5 |
completed | April 20, 2026, 10:12 a.m. |
Created at: April 10, 2026, 1:30 p.m.