Triple
T22195871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rufus Norris |
E548547
|
entity |
| Predicate | hasRelative |
P367
|
FINISHED |
| Object | Tanya Ronder |
—
|
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: Tanya Ronder | Statement: [Rufus Norris, hasRelative, Tanya Ronder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanya Ronder Context triple: [Rufus Norris, hasRelative, Tanya Ronder]
-
A.
Tanya Ronder
chosen
Tanya Ronder is a British playwright and screenwriter known for her stage adaptations and original works for theatre and television.
-
B.
Tania De Jonge
Tania De Jonge is a Belgian politician who serves as the mayor of the city of Ninove.
-
C.
Tanya Reynolds
Tanya Reynolds is a British actress best known for her role as Lily Iglehart in the Netflix series "Sex Education."
-
D.
Tanya Wright
Tanya Wright is an American actress best known for her role as Crystal Burset on the television series "Orange Is the New Black."
-
E.
Tania Nell
Tania Nell is a British woman best known as the wife of Olympic distance-running champion Sir Mo Farah.
- 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12ae6f7a881908cf1772326f91467 |
completed | April 28, 2026, 9:47 p.m. |
Created at: April 16, 2026, 8:35 p.m.