Triple
T713045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arrested Development |
E14250
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Mitchell Hurwitz |
E99817
|
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: Mitchell Hurwitz | Statement: [Arrested Development, executiveProducer, Mitchell Hurwitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitchell Hurwitz Context triple: [Arrested Development, executiveProducer, Mitchell Hurwitz]
-
A.
Mitchell Hurwitz
chosen
Mitchell Hurwitz is an American television writer and producer best known for creating the critically acclaimed sitcom "Arrested Development."
-
B.
Paul Vogel
Paul Vogel was an American cinematographer best known for his work on classic Hollywood films, including the Oscar-winning "Battleground."
-
C.
Seth Gordon
Seth Gordon is an American film and television director known for his work on comedies such as "Horrible Bosses" and the documentary "The King of Kong: A Fistful of Quarters."
-
D.
Dan Scanlon
Dan Scanlon is an American filmmaker and animator best known for his work as a director and writer at Pixar Animation Studios.
-
E.
Craig Zadan
Craig Zadan was an American film, television, and theater producer best known for his work on musical adaptations and live TV musicals, including projects like "Chicago" and NBC's live musical events.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a55ee4fc81909358659ec3bc435f |
completed | March 1, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3a8bcc8819091c785ad953ddc54 |
completed | March 4, 2026, 3:14 a.m. |
Created at: March 1, 2026, 7:36 p.m.