Triple
T12209520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twenty Twelve |
E290918
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Ian Fletcher |
E311131
|
NE FINISHED |
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: Ian Fletcher | Statement: [Twenty Twelve, hasCharacter, Ian Fletcher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ian Fletcher Context triple: [Twenty Twelve, hasCharacter, Ian Fletcher]
-
A.
Ian Fletcher
chosen
Ian Fletcher is a fictional British civil servant and central character in the BBC mockumentary series "Twenty Twelve" and its spin-off "W1A."
-
B.
Richard Fletcher
Richard Fletcher was a 16th-century English clergyman and bishop, notably serving as Bishop of London during the reign of Elizabeth I.
-
C.
Ian Ward
Ian Ward is a personal name shared by several notable individuals, including professionals in fields such as sports, academia, and the arts.
-
D.
Don Fletcher
Don Fletcher is a writer best known for his work on the song "Dancing Machine."
-
E.
William Fretter
William Fretter was an American physicist and academic known for his work at the University of California, Berkeley, where he mentored notable students and contributed to physics education and administration.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91c7ed4688190b0546b784e36b0ec |
completed | April 10, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af3d7778819091ab96f5d218d2c7 |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 8, 2026, 9:51 p.m.