Triple
T10219899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dick Vitale |
E242547
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Dickie V
Dickie V is the exuberant, catchphrase-spouting American college basketball broadcaster and former coach best known for his long tenure as an ESPN analyst.
|
E850219
|
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: Dickie V | Statement: [Dick Vitale, nickname, Dickie V]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dickie V Context triple: [Dick Vitale, nickname, Dickie V]
-
A.
Dickie
Dickie is a Scottish surname most notably associated with actress Kate Dickie, known for her roles in film and television.
-
B.
Dickie Jones
Dickie Jones was an American child actor best known as the voice of the title character in Disney’s 1940 animated film "Pinocchio."
-
C.
Vince
Vince is a given name commonly used as a short form of Vincent.
-
D.
Nick D’Virgilio
Nick D’Virgilio is an American drummer, vocalist, and multi-instrumentalist best known for his work with the progressive rock band Spock’s Beard and later with Big Big Train.
-
E.
Vince DiCola
Vince DiCola is an American composer and keyboardist best known for his synth-driven film scores in the 1980s, particularly for Rocky IV and The Transformers: The Movie.
- 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: Dickie V Triple: [Dick Vitale, nickname, Dickie V]
Generated description
Dickie V is the exuberant, catchphrase-spouting American college basketball broadcaster and former coach best known for his long tenure as an ESPN analyst.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dickie V Target entity description: Dickie V is the exuberant, catchphrase-spouting American college basketball broadcaster and former coach best known for his long tenure as an ESPN analyst.
-
A.
Dickie
Dickie is a Scottish surname most notably associated with actress Kate Dickie, known for her roles in film and television.
-
B.
Dickie Jones
Dickie Jones was an American child actor best known as the voice of the title character in Disney’s 1940 animated film "Pinocchio."
-
C.
Vince
Vince is a given name commonly used as a short form of Vincent.
-
D.
Nick D’Virgilio
Nick D’Virgilio is an American drummer, vocalist, and multi-instrumentalist best known for his work with the progressive rock band Spock’s Beard and later with Big Big Train.
-
E.
Vince DiCola
Vince DiCola is an American composer and keyboardist best known for his synth-driven film scores in the 1980s, particularly for Rocky IV and The Transformers: The Movie.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa715a3c8190a9ccee7bcece0346 |
completed | April 6, 2026, 12:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a82c98fc8190929b7b56f9a6e60d |
completed | April 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69d6ab2481b081908f65806c31be807f |
completed | April 8, 2026, 7:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6ad9b943c8190bbaf201f43b7444b |
completed | April 8, 2026, 7:33 p.m. |
Created at: April 6, 2026, 11:08 a.m.