Triple
T16613065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WABC (AM) |
E403624
|
entity |
| Predicate | notablePersonality |
P7128
|
FINISHED |
| Object |
Bob Grant
Bob Grant was a pioneering and influential American conservative talk radio host known for his confrontational style and long-running presence on New York airwaves.
|
E1223557
|
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 Grant | Statement: [WABC (AM), notablePersonality, Bob Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Grant Context triple: [WABC (AM), notablePersonality, Bob Grant]
-
A.
Bill Davis
Bill Davis was a notable individual significant enough in his community or region to have the William G. Davis Trail named in his honor.
-
B.
Bob McMichael
Bob McMichael is an individual notable enough to be recognized as a prominent bearer of the McMichael surname.
-
C.
Bob Kelso
Bob Kelso is a fictional, often sarcastic and bureaucratic chief of medicine on the television series "Scrubs."
-
D.
Bob Houghton
Bob Houghton is an English football manager best known for his influential tactical innovations in the 1970s, including leading Malmö FF to the 1979 European Cup final.
-
E.
Tony Roberts
Tony Roberts is an American actor best known for his frequent collaborations with Woody Allen in films such as "Annie Hall."
- 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 Grant Triple: [WABC (AM), notablePersonality, Bob Grant]
Generated description
Bob Grant was a pioneering and influential American conservative talk radio host known for his confrontational style and long-running presence on New York airwaves.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bob Grant Target entity description: Bob Grant was a pioneering and influential American conservative talk radio host known for his confrontational style and long-running presence on New York airwaves.
-
A.
Bill Davis
Bill Davis was a notable individual significant enough in his community or region to have the William G. Davis Trail named in his honor.
-
B.
Bob McMichael
Bob McMichael is an individual notable enough to be recognized as a prominent bearer of the McMichael surname.
-
C.
Bob Kelso
Bob Kelso is a fictional, often sarcastic and bureaucratic chief of medicine on the television series "Scrubs."
-
D.
Bob Houghton
Bob Houghton is an English football manager best known for his influential tactical innovations in the 1970s, including leading Malmö FF to the 1979 European Cup final.
-
E.
Tony Roberts
Tony Roberts is an American actor best known for his frequent collaborations with Woody Allen in films such as "Annie Hall."
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3609776d48190b6b8c7826ac575c4 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075aeaa9881908bdef0f9f2b52e60 |
completed | May 10, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_6a007705f57881908b07a20ae8957c64 |
completed | May 10, 2026, 12:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007b18f0b08190a9ddc6ad7358d6b8 |
completed | May 10, 2026, 12:33 p.m. |
Created at: April 10, 2026, 5:17 a.m.