Triple
T18607960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beneski family |
E454807
|
entity |
| Predicate | hasNotableMember |
P304
|
FINISHED |
| Object |
Ted Beneski
Ted Beneski is a notable member of the Beneski family, recognized for his prominence and contributions associated with the family name.
|
E1333692
|
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: Ted Beneski | Statement: [Beneski family, hasNotableMember, Ted Beneski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ted Beneski Context triple: [Beneski family, hasNotableMember, Ted Beneski]
-
A.
Greg Beeman
Greg Beeman is an American television director and producer known for his work on genre series such as "Falling Skies," "Heroes," and "Smallville."
-
B.
Brian Blosil
Brian Blosil is an American record producer and the former husband of entertainer Marie Osmond.
-
C.
Jeff Bierman
Jeff Bierman is a cinematographer best known for his work on the crime thriller film "Emily the Criminal."
-
D.
Eric Bemis
Eric Bemis is a socially awkward but brilliant teenage neighbor and friend who becomes a key ally in dealing with the undead chaos in the dark comedy series "Santa Clarita Diet."
-
E.
Ted Briskin
Ted Briskin was an American businessman best known as the first husband of Hollywood actress and singer Betty Hutton.
- 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: Ted Beneski Triple: [Beneski family, hasNotableMember, Ted Beneski]
Generated description
Ted Beneski is a notable member of the Beneski family, recognized for his prominence and contributions associated with the family name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ted Beneski Target entity description: Ted Beneski is a notable member of the Beneski family, recognized for his prominence and contributions associated with the family name.
-
A.
Greg Beeman
Greg Beeman is an American television director and producer known for his work on genre series such as "Falling Skies," "Heroes," and "Smallville."
-
B.
Brian Blosil
Brian Blosil is an American record producer and the former husband of entertainer Marie Osmond.
-
C.
Jeff Bierman
Jeff Bierman is a cinematographer best known for his work on the crime thriller film "Emily the Criminal."
-
D.
Eric Bemis
Eric Bemis is a socially awkward but brilliant teenage neighbor and friend who becomes a key ally in dealing with the undead chaos in the dark comedy series "Santa Clarita Diet."
-
E.
Ted Briskin
Ted Briskin was an American businessman best known as the first husband of Hollywood actress and singer Betty Hutton.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54cff3be8819080ab20045bd18a4d |
completed | April 19, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050387fe1c8190b29d4f4ad6ec4d6e |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a0504a2ee3081908fd92ea5ace4f62c |
completed | May 13, 2026, 11:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0505048ad081908ae23163a71a3c17 |
completed | May 13, 2026, 11:11 p.m. |
Created at: April 10, 2026, 11:45 a.m.