Triple
T10872416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 61st Annual Grammy Awards |
E256691
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Ken Ehrlich
Ken Ehrlich is a veteran American television producer best known for his long-running role shaping the modern Grammy Awards broadcasts.
|
E976817
|
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: Ken Ehrlich | Statement: [61st Annual Grammy Awards, producer, Ken Ehrlich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ken Ehrlich Context triple: [61st Annual Grammy Awards, producer, Ken Ehrlich]
-
A.
Scott Ehrlich
Scott Ehrlich is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
-
B.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
C.
Kirk Stievely
Kirk Stievely is a British actor best known as the former husband of actress Victoria Tennant.
-
D.
Eric Kretz
Eric Kretz is an American drummer best known as a founding member of the rock band Stone Temple Pilots.
-
E.
Michael Leibert
Michael Leibert was an American theater director and producer best known for establishing the influential Berkeley Repertory Theatre in California.
- 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: Ken Ehrlich Triple: [61st Annual Grammy Awards, producer, Ken Ehrlich]
Generated description
Ken Ehrlich is a veteran American television producer best known for his long-running role shaping the modern Grammy Awards broadcasts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ken Ehrlich Target entity description: Ken Ehrlich is a veteran American television producer best known for his long-running role shaping the modern Grammy Awards broadcasts.
-
A.
Scott Ehrlich
Scott Ehrlich is a notable individual recognized for his contributions in his professional field, though specific widely known details about his work are not clearly established from the given information.
-
B.
Eric Danchick
Eric Danchick is a film producer known for his work on the movie "Bound 2."
-
C.
Kirk Stievely
Kirk Stievely is a British actor best known as the former husband of actress Victoria Tennant.
-
D.
Eric Kretz
Eric Kretz is an American drummer best known as a founding member of the rock band Stone Temple Pilots.
-
E.
Michael Leibert
Michael Leibert was an American theater director and producer best known for establishing the influential Berkeley Repertory Theatre in California.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751885b348190baf6eb606089a438 |
completed | April 9, 2026, 7:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a6efa448190a9d95c5bd68ff34b |
completed | May 2, 2026, 4:46 p.m. |
| NEDg | Description generation | batch_69f62be354a88190aaf5e8439b33120b |
completed | May 2, 2026, 4:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62c8194d881909db3d320a21f2052 |
completed | May 2, 2026, 4:55 p.m. |
Created at: April 8, 2026, 9:21 p.m.