Triple
T16721803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Nathan-Turner |
E406364
|
entity |
| Predicate | introducedCompanion |
P22642
|
FINISHED |
| Object | Kamelion |
E1132697
|
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: Kamelion | Statement: [John Nathan-Turner, introducedCompanion, Kamelion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamelion Context triple: [John Nathan-Turner, introducedCompanion, Kamelion]
-
A.
Kamelion
chosen
Kamelion is a shape-shifting android companion from the classic Doctor Who series who briefly travels with the Fifth Doctor.
-
B.
Kamel
Kamel is a given name, often used in Arabic-speaking and related cultures, that serves as a variant form of the name Kamal.
-
C.
Merbold
Merbold is the surname of Ulf Merbold, a German physicist and astronaut who was the first West German citizen to fly in space.
-
D.
Cyclop
Cyclop is a monumental, whimsical kinetic sculpture and architectural artwork in France created by Swiss artist Jean Tinguely in collaboration with other artists.
-
E.
Ceggia
Ceggia is a small town in northeastern Italy known for its traditional Carnival celebrations and its location within the Veneto region.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38743750c81908a980372ad8f1a6a |
completed | April 18, 2026, 1:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d41cb6c8190bfa164ad20f009d9 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.