Triple
T5075471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhima |
E114383
|
entity |
| Predicate | killed |
P4646
|
FINISHED |
| Object | Kichaka |
E473858
|
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: Kichaka | Statement: [Bhima, killed, Kichaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kichaka Context triple: [Bhima, killed, Kichaka]
-
A.
Kichaka
chosen
Kichaka is a powerful and arrogant commander in the Mahabharata who serves as the main antagonist during the Pandavas’ incognito stay in King Virata’s kingdom.
-
B.
Kokane
Kokane is an American rapper and singer known for his distinctive G-funk style and frequent collaborations with West Coast hip hop artists.
-
C.
Hacha-Kekan
Hacha-Kekan is a traditional cultural festival of the Karbi people that showcases their indigenous rituals, music, dance, and communal celebrations.
-
D.
Harku
Harku is a small settlement in northern Estonia located within Harku Parish, near the capital city of Tallinn.
-
E.
Kodo
Kodo is the main lecture and assembly hall of the historic Yakushi-ji Buddhist temple in Nara, Japan.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74d2243481908c1ae62f7123c4e9 |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb121fa388190ab3909d20f014b6f |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:39 p.m.