Triple
T20214994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ER |
E493594
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | David Zabel |
—
|
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: David Zabel | Statement: [ER, executiveProducer, David Zabel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Zabel Context triple: [ER, executiveProducer, David Zabel]
-
A.
David Zabel
chosen
David Zabel is an American television writer and producer best known for his work as a showrunner and executive producer on the long-running medical drama "ER."
-
B.
Jim Zalesky
Jim Zalesky is an American wrestling coach and former collegiate champion best known for leading the University of Iowa Hawkeyes wrestling program to multiple NCAA team titles in the 1990s and early 2000s.
-
C.
David Zettner
David Zettner is a musician best known as a member of Willie Nelson’s longtime backing group, The Family.
-
D.
Jonathan Zalben
Jonathan Zalben is a film and television composer known for scoring a variety of independent features and documentaries.
-
E.
Daniel Zelman
Daniel Zelman is an American actor, screenwriter, and television producer known for co-creating the legal thriller series "Damages."
- 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_69da6269614c8190bb40475d9d477358 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ed8101081908e53a8bde48624b1 |
completed | April 20, 2026, 6:22 p.m. |
Created at: April 11, 2026, 11:38 p.m.