Triple
T14765872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Family Fang |
E346992
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Dean Vanech |
E835729
|
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: Dean Vanech | Statement: [The Family Fang, executiveProducer, Dean Vanech]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dean Vanech Context triple: [The Family Fang, executiveProducer, Dean Vanech]
-
A.
Dean Vanech
chosen
Dean Vanech is a film and television producer known for his work on the series "Rabbit Hole."
-
B.
Dean Spunt
Dean Spunt is an American musician best known as the drummer and vocalist of the punk rock duo No Age.
-
C.
Karl VanDevender
Karl VanDevender is an American physician best known as the husband of acclaimed novelist Ann Patchett.
-
D.
Dean Stanton
Dean Stanton is a compassionate and soft-spoken prison guard in Stephen King’s novel *The Green Mile*, known for his humane treatment of death row inmates at Cold Mountain Penitentiary.
-
E.
Dean Cochran
Dean Cochran is an American actor and musician best known as a member of Russell Crowe’s rock band 30 Odd Foot of Grunts.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f576c881909da70627f5897c94 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf68d94819093567bc630f67b60 |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:30 a.m.