Triple
T21952101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremiah Johnson |
E542093
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Joe Wizan |
—
|
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: Joe Wizan | Statement: [Jeremiah Johnson, producer, Joe Wizan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joe Wizan Context triple: [Jeremiah Johnson, producer, Joe Wizan]
-
A.
Joe Wizan
chosen
Joe Wizan was an American film producer and studio executive known for his work on numerous Hollywood features from the 1970s through the 1990s.
-
B.
Jon Witz
Jon Witz is an American event producer and promoter best known for creating and organizing major Detroit-area festivals and community events.
-
C.
Joe Wissert
Joe Wissert is an American record producer known for his work on major pop and rock albums in the 1970s, including projects with artists like John Denver and Earth, Wind & Fire.
-
D.
Joe Wredden
Joe Wredden is an actor known for his role in the 2013 television miniseries "The Bible."
-
E.
Tom Witzky
Tom Witzky is a working-class Chicago lineman whose sudden psychic visions drive the supernatural mystery at the heart of the film "Stir of Echoes."
- 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_69e0c47ef0e48190a50e1bcc43f4b3fd |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1243c84d4819097f5a93b128f024b |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:58 p.m.