Triple
T10471026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wednesday |
E246920
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Andrew Mittman |
E930273
|
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: Andrew Mittman | Statement: [Wednesday, executiveProducer, Andrew Mittman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Mittman Context triple: [Wednesday, executiveProducer, Andrew Mittman]
-
A.
Andrew Mittman
chosen
Andrew Mittman is a television and film producer known for his executive production work on series such as the Netflix show "Wednesday."
-
B.
John Eisendrath
John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
-
C.
Todd Rittmann
Todd Rittmann is an American guitarist and songwriter best known for his work in experimental and noise rock bands such as U.S. Maple and Dead Rider.
-
D.
Michael Sarnoski
Michael Sarnoski is an American filmmaker and screenwriter best known for directing the acclaimed drama "Pig" and later helming the horror prequel "A Quiet Place: Day One."
-
E.
Nat Mauldin
Nat Mauldin is an American screenwriter and television writer known for his work on family-oriented films and popular TV comedies.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509305fec81908b1acd91ae1f875d |
completed | April 7, 2026, 1:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e712b2ff1081908ccf311e1133ab72 |
completed | April 21, 2026, 6:01 a.m. |
Created at: April 6, 2026, 12:20 p.m.