Triple
T14748891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Clayton |
E346549
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Clayton
Clayton is an English surname of Old English origin that is borne by various notable individuals across fields such as film, sports, and politics.
|
E132914
|
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: Clayton | Statement: [Jack Clayton, familyName, Clayton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clayton Context triple: [Jack Clayton, familyName, Clayton]
-
A.
Clayton
Clayton is a town in Johnston County, North Carolina, known as a growing suburban community within the Raleigh metropolitan area.
-
B.
Clayton
Clayton is a small town in southeastern Alabama that serves as the county seat of Barbour County.
-
C.
Clayton
Clayton is the protagonist of Harriet Beecher Stowe’s anti-slavery novel "Dred: A Tale of the Great Dismal Swamp," through whom themes of morality, justice, and the complexities of slavery are explored.
-
D.
Clayton
Clayton is a small city in northeastern Georgia, United States, known as a gateway to the Blue Ridge Mountains and nearby outdoor recreation areas.
-
E.
Clayton
Clayton is a small village located within the town of New Marlborough in Berkshire County, Massachusetts.
- 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: Clayton Triple: [Jack Clayton, familyName, Clayton]
Generated description
Clayton is an English surname of Old English origin that is borne by various notable individuals across fields such as film, sports, and politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Clayton Target entity description: Clayton is an English surname of Old English origin that is borne by various notable individuals across fields such as film, sports, and politics.
-
A.
Clayton
chosen
Clayton is a common English-language surname borne by numerous notable individuals across fields such as music, sports, politics, and academia.
-
B.
Clayton
Clayton is a district in east Manchester, England, known for its residential character and proximity to the city’s industrial and sporting landmarks.
-
C.
Clayton
Clayton is a small village in West Sussex, England, known for its rural setting beneath the South Downs and historic landmarks such as the Clayton Windmills.
-
D.
Clayton
Clayton is a small city in northeastern Georgia, United States, known as a gateway to the Blue Ridge Mountains and nearby outdoor recreation areas.
-
E.
Clayton
Clayton is a major suburb in Melbourne, Australia, known for its diverse community, Monash University campus, and significant research and industrial precincts.
- F. None of above.
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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d2e1748190b16ede681fe52872 |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb982b5c8190a0340be2186f8b81 |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdfea2b720819089110c02dbd848bd |
completed | May 8, 2026, 3:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdff1368e48190bc079645996d85d8 |
completed | May 8, 2026, 3:19 p.m. |
Created at: April 10, 2026, 1:30 a.m.