Triple
T6112540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abhimanyu |
E136279
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Uttara |
E473857
|
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: Uttara | Statement: [Abhimanyu, spouse, Uttara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uttara Context triple: [Abhimanyu, spouse, Uttara]
-
A.
Uttara
Uttara is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
-
B.
Uttara
chosen
Uttara is a prince of the Matsya kingdom in the Mahabharata, known for serving as Arjuna’s charioteer during the battle against the Kaurava forces in the Virata Parva.
-
C.
Bihari
Bihari refers to people originating from the Indian state of Bihar, known for their distinct languages (such as Bhojpuri, Maithili, and Magahi), rich cultural traditions, and significant contributions to Indian politics, literature, and labor migration.
-
D.
Bihari
Bihari is a central character in Rabindranath Tagore’s novel "Chokher Bali," known for his moral integrity and emotional complexity within the story’s web of relationships.
-
E.
Kalyani
Kalyani is a planned town in the Nadia district of West Bengal, India, known for its educational institutions, industries, and organized urban layout.
- 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_69c0089ea6f88190b349be53e04b4f5f |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c05bbde2048190909aa3a8097bcf93 |
completed | March 22, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c125631e008190921206b9e355202b |
completed | March 23, 2026, 11:34 a.m. |
Created at: March 22, 2026, 4:13 p.m.