Triple
T3378262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Enough and Time / The Doctor Falls |
E71117
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Bill Potts |
E354201
|
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: Bill Potts | Statement: [World Enough and Time / The Doctor Falls, featuresCharacter, Bill Potts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Potts Context triple: [World Enough and Time / The Doctor Falls, featuresCharacter, Bill Potts]
-
A.
Bill Potts
chosen
Bill Potts is a companion of the Twelfth Doctor in the television series Doctor Who, known for her curiosity, wit, and emotional depth.
-
B.
Martha Jones
Martha Jones is a companion of the Tenth Doctor in the British science fiction television series Doctor Who.
-
C.
Jemima Potts
Jemima Potts is one of the adventurous children in the classic family story "Chitty Chitty Bang Bang," known for her role in the magical car’s whimsical journeys.
-
D.
Mary Tuffley
Mary Tuffley was the wife of English writer Daniel Defoe, known primarily through her marriage to the famed author of "Robinson Crusoe."
-
E.
Kim Newman
Kim Newman is a British author, film critic, and journalist best known for his horror and alternate-history fiction, including the "Anno Dracula" series.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2eacb5c81908071a1dacc9a897a |
completed | March 8, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34bc17dd881908fc5fb0d4a23f40f |
completed | March 12, 2026, 11:26 p.m. |
Created at: March 8, 2026, 3:13 p.m.