Triple
T3659783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tenth Planet |
E77619
|
entity |
| Predicate | featuresPlanet |
P7294
|
FINISHED |
| Object | Mondas |
E77620
|
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: Mondas | Statement: [The Tenth Planet, featuresPlanet, Mondas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mondas Context triple: [The Tenth Planet, featuresPlanet, Mondas]
-
A.
Mondas
chosen
Mondas is the fictional twin planet of Earth in the Doctor Who universe, known as the original home of the Cybermen.
-
B.
Canazei
Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
-
C.
Magrathea
Magrathea is the legendary planet in Douglas Adams' "The Hitchhiker's Guide to the Galaxy" series whose inhabitants built custom-designed luxury worlds for the galaxy's wealthiest clients.
-
D.
Tera
Tera is a West Chadic language spoken primarily in northeastern Nigeria by the Tera people.
-
E.
Krypton
Krypton is a television series set in the DC Comics universe that explores Superman’s home planet and ancestry before its destruction.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d5e5f881909c7c105827d41071 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48842b28881908c6a077cfaa8b092 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:25 p.m.