Triple
T15780231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Doctor |
E382592
|
entity |
| Predicate | vehicle |
P7735
|
FINISHED |
| Object | Whomobile |
E1088265
|
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: Whomobile | Statement: [Third Doctor, vehicle, Whomobile]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whomobile Context triple: [Third Doctor, vehicle, Whomobile]
-
A.
Whomobile
chosen
The Whomobile is a futuristic, hovercraft-like car used by the Third Doctor in the classic British science fiction television series Doctor Who.
-
B.
Byton
Byton is a defunct Chinese electric vehicle startup that aimed to produce high-tech, connected smart cars for global markets.
-
C.
Maxus
Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
-
D.
Magaro
Magaro is an Italian-origin surname most notably borne by American actor John Magaro.
-
E.
Peugeot iOn
The Peugeot iOn is a compact all-electric city car developed in collaboration with Mitsubishi, essentially a rebadged version of the Mitsubishi i-MiEV for the European market.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e053fea90081908e3fe4f91475bead |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff909f7f4481909cceb32e26af3780 |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.