Triple
T9468730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Cragg |
E228338
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Cragg
Cragg is the surname of Tony Cragg, a renowned British sculptor known for his innovative use of materials and abstract forms.
|
E800595
|
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: Cragg | Statement: [Tony Cragg, familyName, Cragg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cragg Context triple: [Tony Cragg, familyName, Cragg]
-
A.
Craige
Craige is a given name and surname, primarily a variant spelling of the more common name Craig.
-
B.
Luncarty
Luncarty is a village in Perth and Kinross, Scotland, known historically for its linen bleaching industry and its proximity to the River Tay.
-
C.
Leagrave
Leagrave is a suburban area of Luton in Bedfordshire, England, known as the district where the River Lea originates.
-
D.
Coningham
Coningham is an English-language surname borne by several notable figures, including military officers and politicians.
-
E.
Cressner
Cressner is the sadistic, wealthy gambler and primary villain in Stephen King’s short story “The Ledge,” known for forcing a man to risk his life by walking around a narrow ledge high above the city.
- 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: Cragg Triple: [Tony Cragg, familyName, Cragg]
Generated description
Cragg is the surname of Tony Cragg, a renowned British sculptor known for his innovative use of materials and abstract forms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cragg Target entity description: Cragg is the surname of Tony Cragg, a renowned British sculptor known for his innovative use of materials and abstract forms.
-
A.
Craige
Craige is a given name and surname, primarily a variant spelling of the more common name Craig.
-
B.
Luncarty
Luncarty is a village in Perth and Kinross, Scotland, known historically for its linen bleaching industry and its proximity to the River Tay.
-
C.
Leagrave
Leagrave is a suburban area of Luton in Bedfordshire, England, known as the district where the River Lea originates.
-
D.
Coningham
Coningham is an English-language surname borne by several notable figures, including military officers and politicians.
-
E.
Cressner
Cressner is the sadistic, wealthy gambler and primary villain in Stephen King’s short story “The Ledge,” known for forcing a man to risk his life by walking around a narrow ledge high above the city.
- 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_69ca846fee388190a6ec273fd644b88b |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fdf604481909bf7d7d477230ca3 |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122c45ae88190a43d70300bed98da |
completed | April 4, 2026, 2:40 p.m. |
| NEDg | Description generation | batch_69d1240e67988190bc16da2c9087775d |
completed | April 4, 2026, 2:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1246979d88190890e2ccf0fdf63cf |
completed | April 4, 2026, 2:47 p.m. |
Created at: March 30, 2026, 7:53 p.m.