Triple
T14720872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sykes |
E345808
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Peter Sykes
Peter Sykes is a British organic chemist and author best known for his influential textbook "A Guidebook to Mechanism in Organic Chemistry."
|
E1121343
|
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: Peter Sykes | Statement: [Sykes, hasNotableBearer, Peter Sykes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Sykes Context triple: [Sykes, hasNotableBearer, Peter Sykes]
-
A.
Jonathan Sykes
Jonathan Sykes is a person notable enough to be recognized as a bearer of the surname Sykes, though specific widely known achievements or roles are not clearly established.
-
B.
Paul Sykes
Paul Sykes is a former English heavyweight boxer and convicted criminal who became a notorious figure in British true-crime circles.
-
C.
Nathan Sykes
Nathan Sykes is a British singer and songwriter best known as a member of the boy band The Wanted and for his subsequent solo music career.
-
D.
Drew Sykes
Drew Sykes is a film producer known for his work on the crime thriller "Emily the Criminal."
-
E.
Michael Sykes
Michael Sykes is a person notable enough to be specifically distinguished from others sharing the surname Sykes.
- 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: Peter Sykes Triple: [Sykes, hasNotableBearer, Peter Sykes]
Generated description
Peter Sykes is a British organic chemist and author best known for his influential textbook "A Guidebook to Mechanism in Organic Chemistry."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Peter Sykes Target entity description: Peter Sykes is a British organic chemist and author best known for his influential textbook "A Guidebook to Mechanism in Organic Chemistry."
-
A.
Jonathan Sykes
Jonathan Sykes is a person notable enough to be recognized as a bearer of the surname Sykes, though specific widely known achievements or roles are not clearly established.
-
B.
Paul Sykes
Paul Sykes is a former English heavyweight boxer and convicted criminal who became a notorious figure in British true-crime circles.
-
C.
Nathan Sykes
Nathan Sykes is a British singer and songwriter best known as a member of the boy band The Wanted and for his subsequent solo music career.
-
D.
Drew Sykes
Drew Sykes is a film producer known for his work on the crime thriller "Emily the Criminal."
-
E.
Michael Sykes
Michael Sykes is a person notable enough to be specifically distinguished from others sharing the surname Sykes.
- 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_69fe24ac17888190bda346df75d37620 |
completed | May 8, 2026, 6 p.m. |
| NEDg | Description generation | batch_69fe357d7ae0819085ad5f31ef5722a0 |
completed | May 8, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe361cd7188190adb9c57314de9276 |
completed | May 8, 2026, 7:14 p.m. |
Created at: April 10, 2026, 1:29 a.m.