Triple
T7370786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim DuBois |
E169995
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tim DuBois |
E169995
|
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: Tim DuBois | Statement: [Tim DuBois, name, Tim DuBois]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim DuBois Context triple: [Tim DuBois, name, Tim DuBois]
-
A.
Tim DuBois
chosen
Tim DuBois is an American music executive and songwriter best known for his influential role in shaping modern country music and developing major artists in Nashville.
-
B.
Jack Deerson
Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
-
C.
Tom DuBois
Tom DuBois is a mild-mannered, upper-middle-class Black lawyer and family man in the animated series "The Boondocks," often portrayed as anxious, conflict-averse, and deeply fearful of the criminal justice system.
-
D.
Sam Merlotte
Sam Merlotte is a shapeshifting bar owner and central figure in the supernatural drama series "True Blood."
-
E.
Charlie Jaffey
Charlie Jaffey is a high-powered, principled defense attorney in "Molly's Game" who helps Molly Bloom navigate her legal troubles with the FBI.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f182df5c81908964fbaa3f8ec790 |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802c711788190806987567dbc9942 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:07 p.m.