Triple
T2743588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamlin |
E60810
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Gene Hamlin
Gene Hamlin is an individual notable enough to be recognized as a prominent bearer of the surname Hamlin.
|
E303820
|
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: Gene Hamlin | Statement: [Hamlin, hasNotableBearer, Gene Hamlin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gene Hamlin Context triple: [Hamlin, hasNotableBearer, Gene Hamlin]
-
A.
Ricky Stenhouse Jr.
Ricky Stenhouse Jr. is an American professional stock car racing driver best known for his NASCAR Cup Series career and multiple Xfinity Series championships.
-
B.
Ernest Truex
Ernest Truex was an American stage, film, and television actor known for his portrayals of mild-mannered, often comedic characters throughout the early to mid-20th century.
-
C.
Kyle Newman
Kyle Newman is an American filmmaker best known for directing genre-blending comedies and action films, including the teen spy movie "Barely Lethal."
-
D.
Chris Buescher
Chris Buescher is an American professional stock car racing driver who competes full-time in the NASCAR Cup Series.
-
E.
Zane Smith
Zane Smith is a screenwriter best known for writing the script for the horror film "My Bloody Valentine 3D."
- 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: Gene Hamlin Triple: [Hamlin, hasNotableBearer, Gene Hamlin]
Generated description
Gene Hamlin is an individual notable enough to be recognized as a prominent bearer of the surname Hamlin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gene Hamlin Target entity description: Gene Hamlin is an individual notable enough to be recognized as a prominent bearer of the surname Hamlin.
-
A.
Ricky Stenhouse Jr.
Ricky Stenhouse Jr. is an American professional stock car racing driver best known for his NASCAR Cup Series career and multiple Xfinity Series championships.
-
B.
Ernest Truex
Ernest Truex was an American stage, film, and television actor known for his portrayals of mild-mannered, often comedic characters throughout the early to mid-20th century.
-
C.
Kyle Newman
Kyle Newman is an American filmmaker best known for directing genre-blending comedies and action films, including the teen spy movie "Barely Lethal."
-
D.
Chris Buescher
Chris Buescher is an American professional stock car racing driver who competes full-time in the NASCAR Cup Series.
-
E.
Zane Smith
Zane Smith is a screenwriter best known for writing the script for the horror film "My Bloody Valentine 3D."
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb314410819095d4822f9277e6ff |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe896a38c81908695305d91c8a7d9 |
completed | March 10, 2026, 9:47 a.m. |
| NEDg | Description generation | batch_69afecafd43c8190ab530afb8270f90f |
completed | March 10, 2026, 10:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0093790c881908c4e2788badf5f1b |
completed | March 10, 2026, 12:06 p.m. |
Created at: March 6, 2026, 9:56 p.m.