Triple
T14807053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Outlaw |
E348064
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | John Eisendrath |
E412061
|
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: John Eisendrath | Statement: [Outlaw, executiveProducer, John Eisendrath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Eisendrath Context triple: [Outlaw, executiveProducer, John Eisendrath]
-
A.
John Eisendrath
chosen
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
B.
Brian Roettinger
Brian Roettinger is an American graphic designer and art director known for his innovative work in music packaging and visual identities for prominent artists and brands.
-
C.
John Diehl
John Diehl is an American character actor best known for his role as Detective Larry Zito on the 1980s television series "Miami Vice."
-
D.
Don Ettlinger
Don Ettlinger was a screenwriter active in early 20th-century American cinema, known for adapting popular literary works for the screen.
-
E.
John Kiffmeyer
John Kiffmeyer is an American drummer best known for being the original drummer of the punk rock band Green Day during their early years.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decf33b6a08190ab6a4cfeda2cc09c |
completed | April 14, 2026, 11:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00679214208190a9ee4cce882f59cb |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 1:41 a.m.