Triple
T22541082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Bane |
E557289
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Gareth Roberts |
—
|
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: Gareth Roberts | Statement: [the Bane, createdBy, Gareth Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gareth Roberts Context triple: [the Bane, createdBy, Gareth Roberts]
-
A.
Gareth Roberts
chosen
Gareth Roberts is a British television writer and novelist best known for his work on the revived Doctor Who series and related media.
-
B.
Michael Forsyth
Michael Forsyth is a British Conservative politician who served as Secretary of State for Scotland in the 1990s and was later elevated to the House of Lords.
-
C.
Brian MacDevitt
Brian MacDevitt is a Tony Award–winning American lighting designer renowned for his work on numerous high-profile Broadway productions.
-
D.
Stuart Wells
Stuart Wells is a British actor best known for his role as Michael, Billy’s friend, in the acclaimed film "Billy Elliot."
-
E.
Gareth Warren
Gareth Warren is an individual notable enough to be recognized as a bearer of the surname Warren, though specific widely known public achievements or roles are not clearly documented.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f3251808190a72b849157854d8d |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:51 p.m.