Triple
T14126502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Terry |
E340046
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Toni Poole
Toni Poole is a British woman best known as the wife of former Chelsea and England football captain John Terry.
|
E1114923
|
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: Toni Poole | Statement: [John Terry, spouse, Toni Poole]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toni Poole Context triple: [John Terry, spouse, Toni Poole]
-
A.
Toni Stevens
Toni Stevens is a film producer known for her work on the animated feature "PAW Patrol: The Movie."
-
B.
Paula Wilcox
Paula Wilcox is an English actress best known for her extensive work in British television sitcoms and dramas since the 1970s.
-
C.
Donna Norris
Donna Norris is best known as the mother of Amber Hagerman, whose 1996 abduction and murder led to the creation of the AMBER Alert child abduction emergency response system.
-
D.
Tempe Pigott
Tempe Pigott was an English character actress known for her supporting roles in early 20th-century stage and film productions, including numerous Hollywood films of the 1930s and 1940s.
-
E.
Phoef Sutton
Phoef Sutton is an American television writer and producer best known for his work on popular sitcoms such as "Cheers" and various other TV series.
- 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: Toni Poole Triple: [John Terry, spouse, Toni Poole]
Generated description
Toni Poole is a British woman best known as the wife of former Chelsea and England football captain John Terry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Toni Poole Target entity description: Toni Poole is a British woman best known as the wife of former Chelsea and England football captain John Terry.
-
A.
Toni Stevens
Toni Stevens is a film producer known for her work on the animated feature "PAW Patrol: The Movie."
-
B.
Paula Wilcox
Paula Wilcox is an English actress best known for her extensive work in British television sitcoms and dramas since the 1970s.
-
C.
Donna Norris
Donna Norris is best known as the mother of Amber Hagerman, whose 1996 abduction and murder led to the creation of the AMBER Alert child abduction emergency response system.
-
D.
Tempe Pigott
Tempe Pigott was an English character actress known for her supporting roles in early 20th-century stage and film productions, including numerous Hollywood films of the 1930s and 1940s.
-
E.
Phoef Sutton
Phoef Sutton is an American television writer and producer best known for his work on popular sitcoms such as "Cheers" and various other TV series.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de6096976481909dc79066c5165a50 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf06cddcc81909a1ba268f667dc1d |
completed | May 8, 2026, 2:17 p.m. |
| NEDg | Description generation | batch_69fdf21ff584819098d5bc66fd667edf |
completed | May 8, 2026, 2:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdf2980d188190a81474df8097aab7 |
completed | May 8, 2026, 2:26 p.m. |
Created at: April 9, 2026, 10:22 p.m.