Triple
T2097080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coleman Hawkins |
E37006
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Hawkins
Hawkins is a common English-language surname borne by numerous notable figures across fields such as music, sports, politics, and entertainment.
|
E233482
|
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: Hawkins | Statement: [Coleman Hawkins, familyName, Hawkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hawkins Context triple: [Coleman Hawkins, familyName, Hawkins]
-
A.
Halstead
Halstead is a historic market town in the county of Essex in the East of England.
-
B.
Holbrook
Holbrook is the surname of Hal Holbrook, the acclaimed American actor known for his portrayal of Mark Twain and numerous film and television roles.
-
C.
Holbrook
Holbrook is a village and civil parish in the county of Derbyshire in the East Midlands of England.
-
D.
Haydon
Haydon is the maiden surname of Vanessa Trump, who is known for her former marriage to Donald Trump Jr.
-
E.
Bamford
Bamford is a village in Derbyshire, England, situated in the Peak District and known for its proximity to Ladybower Reservoir and scenic moorland landscapes.
- 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: Hawkins Triple: [Coleman Hawkins, familyName, Hawkins]
Generated description
Hawkins is a common English-language surname borne by numerous notable figures across fields such as music, sports, politics, and entertainment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hawkins Target entity description: Hawkins is a common English-language surname borne by numerous notable figures across fields such as music, sports, politics, and entertainment.
-
A.
Halstead
Halstead is a historic market town in the county of Essex in the East of England.
-
B.
Holbrook
Holbrook is a village and civil parish in the county of Derbyshire in the East Midlands of England.
-
C.
Holbrook
Holbrook is the surname of Hal Holbrook, the acclaimed American actor known for his portrayal of Mark Twain and numerous film and television roles.
-
D.
Haydon
Haydon is the maiden surname of Vanessa Trump, who is known for her former marriage to Donald Trump Jr.
-
E.
Bamford
Bamford is a village in Derbyshire, England, situated in the Peak District and known for its proximity to Ladybower Reservoir and scenic moorland landscapes.
- 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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba9cb84481909fe0a66c020b8864 |
completed | March 7, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae3060b834819091dff510b89b3ec8 |
completed | March 9, 2026, 2:28 a.m. |
| NEDg | Description generation | batch_69ae30f84d548190b2d99162471207a4 |
completed | March 9, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae317473408190ad67374cfb82a7db |
completed | March 9, 2026, 2:33 a.m. |
Created at: March 4, 2026, 7:43 p.m.