Triple
T23111247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doomsday Book |
E576325
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Badri |
—
|
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: Badri | Statement: [Doomsday Book, character, Badri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Badri Context triple: [Doomsday Book, character, Badri]
-
A.
Badri
chosen
Badri is a 2000 Telugu romantic action film directed by Puri Jagannadh and starring Pawan Kalyan, known for its youthful theme, hit music, and commercial success.
-
B.
Vijayeshwar
Vijayeshwar is an alternative historical or traditional name for the town of Bijbehara in Jammu and Kashmir, India.
-
C.
Rawatbhata
Rawatbhata is a town in Rajasthan, India, known for its nearby nuclear power facilities and major dams on the Chambal River.
-
D.
Kalgidhar
Kalgidhar is an honorific epithet of Guru Gobind Singh, emphasizing his revered status as a timeless, divine protector in Sikh tradition.
-
E.
Shankari
Shankari is a revered epithet of the Hindu goddess Narmada Devi, emphasizing her aspect as a beneficent and auspicious divine mother.
- 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_69e245f4af548190898d434a64a1e774 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e0f4d188190a9395074c630ab0d |
completed | April 29, 2026, 4:50 a.m. |
Created at: April 17, 2026, 3:58 p.m.