Triple
T20752951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gale Howard |
E510775
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Tony Booth |
—
|
NE NERFINISHED |
How this triple was built (2 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: Tony Booth | Statement: [Gale Howard, spouse, Tony Booth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony Booth Context triple: [Gale Howard, spouse, Tony Booth]
-
A.
Tony Booth
chosen
Tony Booth was a British actor best known for his role as Mike Rawlins in the sitcom "Till Death Us Do Part" and as the father of former UK Prime Minister Tony Blair.
-
B.
Tony Hurst
Tony Hurst is a person notable enough to be recognized as a prominent bearer of the surname Hurst.
-
C.
Kevin Brereton
Kevin Brereton is a Canadian rapper, singer, songwriter, and producer better known by his stage name K-Os, recognized for blending hip hop with rock, reggae, and alternative music.
-
D.
John Tordoff
John Tordoff is a British actor known for his work in film, television, and theatre, including a role in the 1987 adaptation of "The Magic Toyshop."
-
E.
Tony Pope
Tony Pope was an American voice actor known for his extensive work in animation and video games, including voicing iconic Disney characters.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4c909ec8190b05987f1639513f6 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c22be6588190b137193cb3184fc0 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:34 p.m.