Triple
T5065149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Fassel |
E114124
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Fassel
Fassel is a surname most notably associated with Jim Fassel, a former head coach of the New York Giants in the National Football League.
|
E489808
|
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: Fassel | Statement: [Jim Fassel, familyName, Fassel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fassel Context triple: [Jim Fassel, familyName, Fassel]
-
A.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
B.
Fadden
Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
-
C.
Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
-
D.
Faventia
Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
-
E.
Wallesau
Wallesau is a village-level subdivision of the town of Roth in the Bavarian region of Germany.
- 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: Fassel Triple: [Jim Fassel, familyName, Fassel]
Generated description
Fassel is a surname most notably associated with Jim Fassel, a former head coach of the New York Giants in the National Football League.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fassel Target entity description: Fassel is a surname most notably associated with Jim Fassel, a former head coach of the New York Giants in the National Football League.
-
A.
Gassel
Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
-
B.
Fadden
Fadden is an Australian federal electoral division in Queensland, represented in the House of Representatives.
-
C.
Fussa
Fussa is a city in western Tokyo, Japan, known for hosting Yokota Air Base and various Japan Air Self-Defense Force facilities.
-
D.
Faventia
Faventia is the ancient Roman name for the Italian city of Faenza, historically known as an important settlement in northern Italy.
-
E.
Wallesau
Wallesau is a village-level subdivision of the town of Roth in the Bavarian region of Germany.
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7478f7988190bc0473e8af055147 |
completed | March 20, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bea49ae8c081908ef8c2e2dbbe3b49 |
completed | March 21, 2026, 2 p.m. |
| NEDg | Description generation | batch_69bea56407148190a2ba646c779e738b |
completed | March 21, 2026, 2:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bea610b7ac8190b0dcfaa67ba80431 |
completed | March 21, 2026, 2:07 p.m. |
Created at: March 20, 2026, 1:38 p.m.