Triple
T5024523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumitra |
E112940
|
entity |
| Predicate | givesCounselTo |
P488
|
FINISHED |
| Object | Shatrughna |
E118991
|
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: Shatrughna | Statement: [Sumitra, givesCounselTo, Shatrughna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shatrughna Context triple: [Sumitra, givesCounselTo, Shatrughna]
-
A.
Shatrughna
chosen
Shatrughna is a prince of Ayodhya in the Hindu epic Ramayana, known as the devoted younger brother of Rama and the twin of Lakshmana.
-
B.
Indrajit
Indrajit is a powerful warrior prince in the Hindu epic Ramayana, famed for his mastery of celestial weapons and for being the formidable son of the demon king Ravana.
-
C.
Sahadeva
Sahadeva is one of the five Pandava brothers in the Indian epic Mahabharata, renowned for his wisdom, knowledge of astrology, and loyalty.
-
D.
Aniruddha
Aniruddha is a prominent figure in Hindu mythology, known as the grandson of Krishna and a heroic member of the Yadava dynasty.
-
E.
Yudhajit
Yudhajit is a lesser-known prince in the Ramayana, recognized as the brother of Queen Kaikeyi and thus an uncle of Bharata.
- 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_69bd4435c2f48190be593158cbfcf8a3 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77c9fc7c8190b165a5cfd5889ba8 |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf219bdd208190990db4b0fa89066a |
completed | March 21, 2026, 10:54 p.m. |
Created at: March 20, 2026, 1:36 p.m.