Triple
T14785211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milestone Award |
E347502
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object |
Bob Daly
Bob Daly is a prominent American television executive best known for his leadership roles at CBS and Warner Bros., where he helped shape modern network and studio operations.
|
E1126606
|
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: Bob Daly | Statement: [Milestone Award, notableRecipient, Bob Daly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Daly Context triple: [Milestone Award, notableRecipient, Bob Daly]
-
A.
Jim Daly
Jim Daly is the father of American television host and producer Carson Daly.
-
B.
Sam Daly
Sam Daly is an American actor known for roles in film and television and as the son of actor Tim Daly.
-
C.
Mike Dailey
Mike Dailey is an American arena football coach best known for leading the Albany Firebirds and later the Colorado Crush to success in the Arena Football League.
-
D.
Ted Daughety
Ted Daughety is an American physician and pulmonologist best known as the husband of Kansas Governor Laura Kelly.
-
E.
Bob Dolman
Bob Dolman is a Canadian screenwriter, director, and producer best known for his work on fantasy and comedy films and television, including co-writing the cult classic movie "Willow."
- 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: Bob Daly Triple: [Milestone Award, notableRecipient, Bob Daly]
Generated description
Bob Daly is a prominent American television executive best known for his leadership roles at CBS and Warner Bros., where he helped shape modern network and studio operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob Daly Target entity description: Bob Daly is a prominent American television executive best known for his leadership roles at CBS and Warner Bros., where he helped shape modern network and studio operations.
-
A.
Jim Daly
Jim Daly is the father of American television host and producer Carson Daly.
-
B.
Sam Daly
Sam Daly is an American actor known for roles in film and television and as the son of actor Tim Daly.
-
C.
Mike Dailey
Mike Dailey is an American arena football coach best known for leading the Albany Firebirds and later the Colorado Crush to success in the Arena Football League.
-
D.
Ted Daughety
Ted Daughety is an American physician and pulmonologist best known as the husband of Kansas Governor Laura Kelly.
-
E.
Bob Dolman
Bob Dolman is a Canadian screenwriter, director, and producer best known for his work on fantasy and comedy films and television, including co-writing the cult classic movie "Willow."
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 |
completed | April 14, 2026, 11:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe72a347808190a72dfd3a1b776982 |
completed | May 8, 2026, 11:32 p.m. |
| NEDg | Description generation | batch_69fe7360c11481908e2e5127b466e31b |
completed | May 8, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe743c37308190a045ef5f0ade8508 |
completed | May 8, 2026, 11:39 p.m. |
Created at: April 10, 2026, 1:31 a.m.