Triple
T15907555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ER season 15 |
E385759
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
David Zabel
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."
|
E1199723
|
NE FINISHED |
How this triple was built (4 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 season 15, executiveProducer, David Zabel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Zabel Context triple: [ER season 15, executiveProducer, David Zabel]
-
A.
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.
-
B.
David Zettner
David Zettner is a musician best known as a member of Willie Nelson’s longtime backing group, The Family.
-
C.
Jonathan Zalben
Jonathan Zalben is a film and television composer known for scoring a variety of independent features and documentaries.
-
D.
Daniel Zelman
Daniel Zelman is an American actor, screenwriter, and television producer known for co-creating the legal thriller series "Damages."
-
E.
Gene Zabel
Gene Zabel is a notable individual associated with the city of Wahoo in Nebraska, United States.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: David Zabel Triple: [ER season 15, executiveProducer, David Zabel]
Generated description
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."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Zabel Target entity description: 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."
-
A.
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.
-
B.
David Zettner
David Zettner is a musician best known as a member of Willie Nelson’s longtime backing group, The Family.
-
C.
Jonathan Zalben
Jonathan Zalben is a film and television composer known for scoring a variety of independent features and documentaries.
-
D.
Daniel Zelman
Daniel Zelman is an American actor, screenwriter, and television producer known for co-creating the legal thriller series "Damages."
-
E.
Gene Zabel
Gene Zabel is a notable individual associated with the city of Wahoo in Nebraska, United States.
- F. None of above. chosen
Provenance (5 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1565c11bc819091b1fd85901a832d |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffee76e9481908e74c32cb8263875 |
completed | May 10, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_6a00036dc34c8190b485267687f0a7f8 |
completed | May 10, 2026, 4:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0003c6e65881909dc4cc3398690455 |
completed | May 10, 2026, 4:04 a.m. |
Created at: April 10, 2026, 4:52 a.m.