Triple
T12587692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arkansas Razorbacks baseball |
E300510
|
entity |
| Predicate | headCoach |
P256
|
FINISHED |
| Object |
Dave Van Horn
Dave Van Horn is a highly respected American college baseball coach best known for leading the University of Arkansas Razorbacks to national prominence.
|
E992697
|
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: Dave Van Horn | Statement: [Arkansas Razorbacks baseball, headCoach, Dave Van Horn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dave Van Horn Context triple: [Arkansas Razorbacks baseball, headCoach, Dave Van Horn]
-
A.
Chip Hardesty
Chip Hardesty is the fictional FBI agent protagonist of the 1959 film "The FBI Story," whose career dramatizes the Bureau’s history and major cases.
-
B.
Thomas Oaster
Thomas Oaster is an American men's rights advocate best known for initiating and promoting the observance that became International Men's Day.
-
C.
Barry Van Dyke
Barry Van Dyke is an American actor best known for co-starring with his father Dick Van Dyke on the television series "Diagnosis: Murder."
-
D.
Bill Steele
Bill Steele is a Canadian municipal politician who serves as the mayor of Port Colborne, Ontario.
-
E.
Dick Hammel
Dick Hammel is an architect best known as the founding figure behind the firm HGA Architects and Engineers.
- 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: Dave Van Horn Triple: [Arkansas Razorbacks baseball, headCoach, Dave Van Horn]
Generated description
Dave Van Horn is a highly respected American college baseball coach best known for leading the University of Arkansas Razorbacks to national prominence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dave Van Horn Target entity description: Dave Van Horn is a highly respected American college baseball coach best known for leading the University of Arkansas Razorbacks to national prominence.
-
A.
Chip Hardesty
Chip Hardesty is the fictional FBI agent protagonist of the 1959 film "The FBI Story," whose career dramatizes the Bureau’s history and major cases.
-
B.
Thomas Oaster
Thomas Oaster is an American men's rights advocate best known for initiating and promoting the observance that became International Men's Day.
-
C.
Barry Van Dyke
Barry Van Dyke is an American actor best known for co-starring with his father Dick Van Dyke on the television series "Diagnosis: Murder."
-
D.
Bill Steele
Bill Steele is a Canadian municipal politician who serves as the mayor of Port Colborne, Ontario.
-
E.
Dick Hammel
Dick Hammel is an architect best known as the founding figure behind the firm HGA Architects and Engineers.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954bbe72c8190aa11090bb6b480c9 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ebed164819083fbdaa775a59cd4 |
completed | May 2, 2026, 8:29 p.m. |
| NEDg | Description generation | batch_69f66088890c8190b67a958d7f0822a6 |
completed | May 2, 2026, 8:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6613ce1108190851cf8491fe666c8 |
completed | May 2, 2026, 8:40 p.m. |
Created at: April 9, 2026, 5:05 p.m.