Triple
T10125737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahendra |
E226209
|
entity |
| Predicate | hasRelationshipWith |
P2830
|
FINISHED |
| Object | Behari |
E817067
|
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: Behari | Statement: [Mahendra, hasRelationshipWith, Behari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Behari Context triple: [Mahendra, hasRelationshipWith, Behari]
-
A.
Behari
chosen
Behari is a fictional character, likely from South Asian literature or drama, connected to the character Ashalata in a significant narrative relationship.
-
B.
Kusumagraj
Kusumagraj was the pen name of Vishnu Vaman Shirwadkar, a renowned Marathi poet, playwright, and writer celebrated for his contributions to modern Marathi literature and social activism.
-
C.
Nagara Shekhari
Nagara Shekhari is a distinctive sub-style of North Indian Hindu temple architecture characterized by its clustered, vertically rising spires and richly ornamented tower forms.
-
D.
Nandiraj
Nandiraj is a tributary river that feeds into the Indravati River in central India.
-
E.
Nandlal
Nandlal is an Indian given name, notably borne by Nandlal Nehru, an early 20th-century lawyer and member of the prominent Nehru 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_69ca843057b48190a86730167f5d6b98 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd2ed85b4819097dfe89e044e1a90 |
completed | April 2, 2026, 2:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2cc5cb62081908f4725de14916c11 |
completed | April 5, 2026, 8:55 p.m. |
Created at: March 30, 2026, 9:05 p.m.