Triple
T16580605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Soap Award for Best Actress |
E402817
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object | Suranne Jones |
—
|
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: Suranne Jones | Statement: [British Soap Award for Best Actress, notableRecipient, Suranne Jones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suranne Jones Context triple: [British Soap Award for Best Actress, notableRecipient, Suranne Jones]
-
A.
Suranne Jones
chosen
Suranne Jones is an English actress best known for her acclaimed television roles in series such as "Scott & Bailey," "Doctor Foster," and "Gentleman Jack."
-
B.
Rachel Jones
Rachel Jones is the woman after whom the small town of Rachel, Nevada—known for its proximity to Area 51—was named.
-
C.
Renee Jones
Renee Jones is the wife of bestselling American legal-thriller author John Grisham.
-
D.
Laura Jones
Laura Jones is an Australian screenwriter known for her work on acclaimed films such as "High Tide" (1987) and several literary adaptations.
-
E.
Anney Jones
Anney Jones is the daughter of professional wrestler AJ Styles.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35960834c819080eed0c9f32b881d |
completed | April 18, 2026, 10:13 a.m. |
Created at: April 10, 2026, 5:16 a.m.