Triple
T14294697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last of the Time Lords |
E354407
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | the Toclafane |
E354187
|
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: the Toclafane | Statement: [Last of the Time Lords, featuresCharacter, the Toclafane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: the Toclafane Context triple: [Last of the Time Lords, featuresCharacter, the Toclafane]
-
A.
The Toclafane
chosen
The Toclafane are a mysterious and terrifying race of spherical, cybernetic beings who serve as the Master’s deadly enforcers in the Doctor Who universe.
-
B.
Blixem
Blixem is an alternative name for Blitzen, one of Santa Claus’s traditional flying reindeer known from the Christmas poem “A Visit from St. Nicholas.”
-
C.
Mr. Kane
Mr. Kane is a hip-hop artist who contributed a guest appearance to Snoop Dogg’s album "Paid tha Cost to Be da Boss."
-
D.
Mr. Kane
Mr. Kane is the husband of Mary Kane, a character associated with the backstory of Charles Foster Kane in the classic film "Citizen Kane."
-
E.
Max Zorin
Max Zorin is the main villain in the James Bond film "A View to a Kill," a ruthless industrialist plotting to destroy Silicon Valley for financial gain.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de717b35ec81908968994e65737c66 |
completed | April 14, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46812ed48190b879afe9a93784e8 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:11 a.m.