Triple
T15367778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armchair Expert |
E367461
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Rob Holysz
Rob Holysz is a podcast producer best known for his work behind the scenes on Dax Shepard’s popular show "Armchair Expert."
|
E1207671
|
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: Rob Holysz | Statement: [Armchair Expert, producer, Rob Holysz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Holysz Context triple: [Armchair Expert, producer, Rob Holysz]
-
A.
Todd Holoubek
Todd Holoubek is an American comedian, writer, and actor best known as a member of the sketch comedy troupe and MTV series "The State."
-
B.
Roman Holowinsky
Roman Holowinsky is an American mathematician known for his work in analytic number theory, particularly on quantum unique ergodicity, for which he received the SASTRA Ramanujan Prize.
-
C.
John Matuszak
John Matuszak was an American football defensive end turned actor, best known for playing Sloth in the film "The Goonies."
-
D.
Mark Czyzewski
Mark Czyzewski is an editor known for his work on the film "Greyhound."
-
E.
Kevin Sierzega
Kevin Sierzega is a musician best known as a member of the punk rock band Squirtgun.
- 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: Rob Holysz Triple: [Armchair Expert, producer, Rob Holysz]
Generated description
Rob Holysz is a podcast producer best known for his work behind the scenes on Dax Shepard’s popular show "Armchair Expert."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rob Holysz Target entity description: Rob Holysz is a podcast producer best known for his work behind the scenes on Dax Shepard’s popular show "Armchair Expert."
-
A.
Todd Holoubek
Todd Holoubek is an American comedian, writer, and actor best known as a member of the sketch comedy troupe and MTV series "The State."
-
B.
Roman Holowinsky
Roman Holowinsky is an American mathematician known for his work in analytic number theory, particularly on quantum unique ergodicity, for which he received the SASTRA Ramanujan Prize.
-
C.
John Matuszak
John Matuszak was an American football defensive end turned actor, best known for playing Sloth in the film "The Goonies."
-
D.
Mark Czyzewski
Mark Czyzewski is an editor known for his work on the film "Greyhound."
-
E.
Kevin Sierzega
Kevin Sierzega is a musician best known as a member of the punk rock band Squirtgun.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4a7cdc8190b7b48c97e774c306 |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025e9b00c81908cb5f305c894363f |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a0029d7f4988190884ec34f55338b28 |
completed | May 10, 2026, 6:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002a4753608190b0d31a1913b2ba2c |
completed | May 10, 2026, 6:48 a.m. |
Created at: April 10, 2026, 3:18 a.m.