Triple
T2236243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gora |
E49286
|
entity |
| Predicate | adaptation |
P1964
|
FINISHED |
| Object | Gora (television series) |
E49286
|
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: Gora (television series) | Statement: [Gora, adaptation, Gora (television series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gora (television series) Context triple: [Gora, adaptation, Gora (television series)]
-
A.
Sama Gaun
Sama Gaun is a remote Himalayan village in Nepal that serves as a key acclimatization and trekking stop on the Manaslu Circuit near Mount Manaslu.
-
B.
Gora
chosen
Gora is a major Bengali novel by Rabindranath Tagore that explores themes of identity, nationalism, and religious and social reform in colonial India.
-
C.
Ora TV
Ora TV is a digital television network and production company co-founded by Larry King that creates and distributes original online video programming.
-
D.
Görliwood
Görliwood is the popular nickname for the German city of Görlitz, known as a frequent filming location for international movies and TV productions.
-
E.
Gori
Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc093ba0c819091df09a0e018fce1 |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b08c5248190924a28f4c1bd0e2c |
completed | March 9, 2026, 6:39 a.m. |
Created at: March 4, 2026, 7:47 p.m.