Triple
T2097079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coleman Hawkins |
E37006
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Coleman
Coleman is a given name most famously associated with American jazz saxophonist Coleman Hawkins, a pioneering figure in the development of the tenor saxophone in jazz.
|
E233481
|
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: Coleman | Statement: [Coleman Hawkins, givenName, Coleman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coleman Context triple: [Coleman Hawkins, givenName, Coleman]
-
A.
Coleman
Coleman is a well-known outdoor recreation brand recognized for its camping gear, including tents, coolers, lanterns, and portable stoves.
-
B.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
-
C.
Lyman
Lyman is a masculine given name of English origin that has been borne by various notable figures, including the American clergyman and reformer Lyman Beecher.
-
D.
Kelty
Kelty is a former coal-mining village in Fife, Scotland, situated near Lochgelly and close to the M90 motorway.
-
E.
Hobuck
Hobuck is the original settlement name that preceded the modern city of Hoboken, New Jersey.
- 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: Coleman Triple: [Coleman Hawkins, givenName, Coleman]
Generated description
Coleman is a given name most famously associated with American jazz saxophonist Coleman Hawkins, a pioneering figure in the development of the tenor saxophone in jazz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Coleman Target entity description: Coleman is a given name most famously associated with American jazz saxophonist Coleman Hawkins, a pioneering figure in the development of the tenor saxophone in jazz.
-
A.
Coleman
Coleman is a well-known outdoor recreation brand recognized for its camping gear, including tents, coolers, lanterns, and portable stoves.
-
B.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
-
C.
Lyman
Lyman is a masculine given name of English origin that has been borne by various notable figures, including the American clergyman and reformer Lyman Beecher.
-
D.
Kelty
Kelty is a former coal-mining village in Fife, Scotland, situated near Lochgelly and close to the M90 motorway.
-
E.
Hobuck
Hobuck is the original settlement name that preceded the modern city of Hoboken, New Jersey.
- 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.