Triple
T5200223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maruti |
E117374
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Bajrangbali |
E117375
|
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: Bajrangbali | Statement: [Maruti, hasTitle, Bajrangbali]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bajrangbali Context triple: [Maruti, hasTitle, Bajrangbali]
-
A.
Bajrangbali
chosen
Bajrangbali is a revered form of the Hindu deity Hanuman, worshipped as a symbol of strength, devotion, and protection.
-
B.
Nayakan
Nayakan is a critically acclaimed 1987 Tamil crime drama film directed by Mani Ratnam, renowned for Kamal Haasan’s powerful performance and its portrayal of a Mumbai underworld don.
-
C.
Badal
Badal is a Barcelona Metro station that serves the area near Camp Nou stadium in Barcelona, Spain.
-
D.
Raja Hindustani
Raja Hindustani is a popular 1996 Hindi romantic drama film starring Aamir Khan and Karisma Kapoor, known for its emotional storyline and hit music.
-
E.
Kesari
Kesari is a figure in Hindu mythology known as the vanara chief and father of the deity Hanuman.
- 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_69bd4462ed04819084fcb01eb9d2fa74 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7a209d7c81908fa0d3bf2c482a34 |
completed | March 20, 2026, 4:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bee0a37d8c8190842de23da26dd2cb |
completed | March 21, 2026, 6:17 p.m. |
Created at: March 20, 2026, 1:47 p.m.