Triple
T1578835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timothy Dalton |
E33715
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Rassilon |
E84830
|
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: Rassilon | Statement: [Timothy Dalton, portrayed, Rassilon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rassilon Context triple: [Timothy Dalton, portrayed, Rassilon]
-
A.
Rassilon
chosen
Rassilon is a legendary Time Lord from the Doctor Who universe, renowned as one of the founders and first leaders of Time Lord society.
-
B.
Hugo Drax
Hugo Drax is the wealthy, megalomaniacal villain in the James Bond franchise who masterminds a genocidal space-based plot in the novel and film "Moonraker."
-
C.
Lord Dyson
Lord Dyson is a prominent British judge and legal scholar who served as Master of the Rolls and Justice of the Supreme Court of the United Kingdom.
-
D.
Daniel Quasar
Daniel Quasar is a graphic designer best known for creating the Progress Pride Flag, an updated version of the rainbow flag that emphasizes inclusion and intersectionality within the LGBTQ+ community.
-
E.
The Doctor
The Doctor is the time-traveling alien protagonist of the long-running British science fiction series "Doctor Who," known for regenerating into new forms and protecting the universe from various threats.
- 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_69a885f27a4c8190a4622252cdf54c00 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a908d67bd08190afa8c504ed5273ee |
completed | March 5, 2026, 4:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad4030dd408190af5423ca2a3507b7 |
completed | March 8, 2026, 9:24 a.m. |
Created at: March 4, 2026, 7:27 p.m.