Triple
T14720866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sykes |
E345808
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Wally Sykes
Wally Sykes is a British sport shooter known for competing in international clay pigeon shooting events, including the Olympic Games.
|
E1115569
|
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: Wally Sykes | Statement: [Sykes, hasNotableBearer, Wally Sykes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wally Sykes Context triple: [Sykes, hasNotableBearer, Wally Sykes]
-
A.
Mick Ward
Mick Ward is a musician best known for his work with the band Kingfish.
-
B.
Sam Watters
Sam Watters is an American songwriter and record producer best known as a member of the 1990s R&B group Color Me Badd and for writing and producing hits for artists like Jessica Simpson, Kelly Clarkson, and Anastacia.
-
C.
Eric Blore
Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
-
D.
John Sykes
John Sykes is an English rock guitarist and songwriter best known for his work with bands like Thin Lizzy, Whitesnake, and Blue Murder.
-
E.
Jon Davison
Jon Davison is a British video game journalist and media executive known for his work at outlets such as GamePro, 1UP, and IGN.
- 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: Wally Sykes Triple: [Sykes, hasNotableBearer, Wally Sykes]
Generated description
Wally Sykes is a British sport shooter known for competing in international clay pigeon shooting events, including the Olympic Games.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wally Sykes Target entity description: Wally Sykes is a British sport shooter known for competing in international clay pigeon shooting events, including the Olympic Games.
-
A.
Mick Ward
Mick Ward is a musician best known for his work with the band Kingfish.
-
B.
Sam Watters
Sam Watters is an American songwriter and record producer best known as a member of the 1990s R&B group Color Me Badd and for writing and producing hits for artists like Jessica Simpson, Kelly Clarkson, and Anastacia.
-
C.
Eric Blore
Eric Blore was an English character actor best known for his comic portrayals of butlers and valets in 1930s and 1940s Hollywood films.
-
D.
John Sykes
John Sykes is an English rock guitarist and songwriter best known for his work with bands like Thin Lizzy, Whitesnake, and Blue Murder.
-
E.
Jon Davison
Jon Davison is an American musician best known as the lead vocalist of the progressive rock band Yes.
- 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25d56fc8190871873ca55d49272 |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0957bb081908f1f382f3be8ec20 |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf440a03c8190886119ab3c8ab610 |
completed | May 8, 2026, 2:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf4f2acbc8190b51ee456093a2813 |
completed | May 8, 2026, 2:36 p.m. |
Created at: April 10, 2026, 1:29 a.m.