Triple
T13213407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alvin |
E314548
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Allyn Vine
Allyn Vine was an American oceanographer and engineer known for his pioneering contributions to deep-sea exploration and the development of submersible technology.
|
E1026716
|
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: Allyn Vine | Statement: [Alvin, namedAfter, Allyn Vine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allyn Vine Context triple: [Alvin, namedAfter, Allyn Vine]
-
A.
Allyn McLerie
Allyn McLerie was a Canadian-born American actress, singer, and dancer known for her work in Broadway musicals, film, and television from the 1940s through the 1980s.
-
B.
Allyn Stewart
Allyn Stewart is a film producer best known for her work on the biographical drama "Sully."
-
C.
Allyn Buffer
Allyn Buffer is known as the wife of famed boxing and wrestling ring announcer Michael Buffer.
-
D.
Allyn
Allyn is a small unincorporated waterfront community located on the shores of North Bay in Mason County, Washington.
-
E.
Nat Hiken
Nat Hiken was an American television writer, producer, and director best known for creating the classic 1950s and 1960s sitcoms "The Phil Silvers Show" and "Car 54, Where Are You?".
- 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: Allyn Vine Triple: [Alvin, namedAfter, Allyn Vine]
Generated description
Allyn Vine was an American oceanographer and engineer known for his pioneering contributions to deep-sea exploration and the development of submersible technology.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Allyn Vine Target entity description: Allyn Vine was an American oceanographer and engineer known for his pioneering contributions to deep-sea exploration and the development of submersible technology.
-
A.
Allyn McLerie
Allyn McLerie was a Canadian-born American actress, singer, and dancer known for her work in Broadway musicals, film, and television from the 1940s through the 1980s.
-
B.
Allyn Stewart
Allyn Stewart is a film producer best known for her work on the biographical drama "Sully."
-
C.
Allyn Buffer
Allyn Buffer is known as the wife of famed boxing and wrestling ring announcer Michael Buffer.
-
D.
Allyn
Allyn is a small unincorporated waterfront community located on the shores of North Bay in Mason County, Washington.
-
E.
Nat Hiken
Nat Hiken was an American television writer, producer, and director best known for creating the classic 1950s and 1960s sitcoms "The Phil Silvers Show" and "Car 54, Where Are You?".
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9f0f148190a0698ef27573c885 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f6136270819093256a143d2c9e65 |
completed | May 3, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_69f6f72f9dcc8190aa07315891b393aa |
completed | May 3, 2026, 7:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f812ae048190907b8def6b0d019c |
completed | May 3, 2026, 7:24 a.m. |
Created at: April 9, 2026, 9:17 p.m.