Triple
T8666871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deryck Guyler |
E205697
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sykes
Sykes is a British television sitcom best known for starring comedian Eric Sykes in a series of domestic and comedic misadventures.
|
E749450
|
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: Sykes | Statement: [Deryck Guyler, notableWork, Sykes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sykes Context triple: [Deryck Guyler, notableWork, Sykes]
-
A.
Sykes
Sykes is an English surname of Old Norse origin, commonly associated with families from northern England.
-
B.
Moneague
Moneague is a rural village in Jamaica known for its karst landscape, seasonal lake, and location along the main road through Saint Ann Parish.
-
C.
Mosby
Mosby is a surname most famously associated with John S. Mosby, a Confederate cavalry battalion commander and guerrilla leader during the American Civil War.
-
D.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
E.
Hayes
Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
- 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: Sykes Triple: [Deryck Guyler, notableWork, Sykes]
Generated description
Sykes is a British television sitcom best known for starring comedian Eric Sykes in a series of domestic and comedic misadventures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sykes Target entity description: Sykes is a British television sitcom best known for starring comedian Eric Sykes in a series of domestic and comedic misadventures.
-
A.
Sykes
Sykes is an English surname of Old Norse origin, commonly associated with families from northern England.
-
B.
Moneague
Moneague is a rural village in Jamaica known for its karst landscape, seasonal lake, and location along the main road through Saint Ann Parish.
-
C.
Mosby
Mosby is a surname most famously associated with John S. Mosby, a Confederate cavalry battalion commander and guerrilla leader during the American Civil War.
-
D.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
E.
Hayes
Hayes is a common English surname borne by numerous notable figures in politics, entertainment, sports, and other fields.
- 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_69ca83516ae88190aefe034b3bc589e3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48a34b808190aa9aed9cdb2900e6 |
completed | March 31, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecd1592788190a882fb7218f95807 |
completed | April 2, 2026, 8:09 p.m. |
| NEDg | Description generation | batch_69cece8e5afc8190912b6eb9c80dd073 |
completed | April 2, 2026, 8:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecf8ee4f48190bb901e35ade91b6c |
completed | April 2, 2026, 8:20 p.m. |
Created at: March 30, 2026, 6:31 p.m.