Triple
T14286806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Professor Yana |
E354195
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object | Chantho |
E354190
|
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: Chantho | Statement: [Professor Yana, associatedWithCharacter, Chantho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chantho Context triple: [Professor Yana, associatedWithCharacter, Chantho]
-
A.
Chantho
chosen
Chantho is a blue-skinned, insectoid humanoid from the Malmooth species who serves as Professor Yana’s loyal assistant in the Doctor Who series.
-
B.
Chanda
Chanda was a historical kingdom associated with the Gond people, an indigenous community of central India.
-
C.
Chinnha
Chinnha is a notable literary work by the influential Bengali writer Manik Bandopadhyay.
-
D.
Rakcham
Rakcham is a small Himalayan village in Himachal Pradesh, India, known for its scenic alpine landscapes, traditional Kinnauri culture, and proximity to trekking routes in the Baspa Valley.
-
E.
Chotan
Chotan was one of the children of Börte, the principal wife of Genghis Khan, and thus a member of the early Mongol imperial family.
- 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_69de697ef40c8190bea37724b28c2e99 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1c4d988190b595e6a33ef96c28 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:11 a.m.