Triple
T20068066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Enemy of the People |
E499660
|
entity |
| Predicate | hasAdaptation |
P1690
|
FINISHED |
| Object | Ganashatru |
—
|
NE NERFINISHED |
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: Ganashatru | Statement: [An Enemy of the People, hasAdaptation, Ganashatru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ganashatru Context triple: [An Enemy of the People, hasAdaptation, Ganashatru]
-
A.
Ganashatru
chosen
Ganashatru is a 1989 Bengali drama film directed by Satyajit Ray, adapted from Henrik Ibsen’s play "An Enemy of the People," that critiques social hypocrisy and corruption in a small town.
-
B.
Amitraghata
Amitraghata is another name for Bindusara, the Mauryan emperor of ancient India and son of Chandragupta Maurya.
-
C.
Anjatha
Anjatha is an Indian film in which actress Zarina Wahab delivered one of her notable performances.
-
D.
Mandhata
Mandhata is a legendary king of ancient India, celebrated in Hindu tradition as a powerful and virtuous ruler of the Solar dynasty.
-
E.
Shupashkar
Shupashkar is the Chuvash name for Cheboksary, the capital city of the Chuvash Republic in Russia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6637ac3fc8190911063b979c3afb8 |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:39 p.m.