Triple
T7621388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nichols |
E172500
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Roy Nichols
Roy Nichols was an influential American country guitarist best known for his long-time work with Merle Haggard and his distinctive, pioneering Telecaster style.
|
E680867
|
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: Roy Nichols | Statement: [Nichols, hasNotableBearer, Roy Nichols]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roy Nichols Context triple: [Nichols, hasNotableBearer, Roy Nichols]
-
A.
Sam Nicholson
Sam Nicholson is the protagonist of the film "Into the Blue," around whom the central underwater adventure and conflict revolve.
-
B.
Ben Nichols
Ben Nichols is an American singer-songwriter best known as the frontman of the alt-country/rock band Lucero.
-
C.
Roger Nicoll
Roger Nicoll is an influential American neuroscientist renowned for his pioneering work on synaptic transmission and plasticity in the brain.
-
D.
Ed Shearmur
Ed Shearmur is a British film composer known for scoring a wide range of Hollywood movies across genres.
-
E.
Peter Nicholas
Peter Nicholas was an American businessman and philanthropist best known as the co-founder of the medical device company Boston Scientific.
- 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: Roy Nichols Triple: [Nichols, hasNotableBearer, Roy Nichols]
Generated description
Roy Nichols was an influential American country guitarist best known for his long-time work with Merle Haggard and his distinctive, pioneering Telecaster style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roy Nichols Target entity description: Roy Nichols was an influential American country guitarist best known for his long-time work with Merle Haggard and his distinctive, pioneering Telecaster style.
-
A.
Sam Nicholson
Sam Nicholson is the protagonist of the film "Into the Blue," around whom the central underwater adventure and conflict revolve.
-
B.
Ben Nichols
Ben Nichols is an American singer-songwriter best known as the frontman of the alt-country/rock band Lucero.
-
C.
Roger Nicoll
Roger Nicoll is an influential American neuroscientist renowned for his pioneering work on synaptic transmission and plasticity in the brain.
-
D.
Ed Shearmur
Ed Shearmur is a British film composer known for scoring a wide range of Hollywood movies across genres.
-
E.
Peter Nicholas
Peter Nicholas was an American businessman and philanthropist best known as the co-founder of the medical device company Boston Scientific.
- 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_69c699506b308190826894dab1d9ea86 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa62870c8190b17f44eb7a3ff2ad |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a212d0888190a40cdf32ef53d993 |
completed | March 29, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_69c8a30d3fac8190bec7e2748bc8f17e |
completed | March 29, 2026, 3:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a3d2e660819099f90a9e43310381 |
completed | March 29, 2026, 4 a.m. |
Created at: March 27, 2026, 3:56 p.m.