Triple
T9561604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Munji |
E230686
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Munjaniwar |
E806544
|
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: Munjaniwar | Statement: [Munji, hasAlternativeName, Munjaniwar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Munjaniwar Context triple: [Munji, hasAlternativeName, Munjaniwar]
-
A.
Munjani
chosen
Munjani is an alternative name for the Munji language, an Eastern Iranian language spoken primarily in Afghanistan’s Munjan Valley.
-
B.
Munna
Munna is a 2007 Indian Telugu-language action drama film starring Prabhas as a college student seeking revenge against a powerful mafia leader.
-
C.
Jog Manjhi
Jog Manjhi is a traditional community leader among the Santal people, responsible for guiding social conduct and customary practices within the village.
-
D.
Nandha
Nandha is a 2001 Tamil-language drama film directed by Bala, widely recognized for Suriya’s breakthrough performance in a gritty, emotionally intense role.
-
E.
Manik Baashha
Manik Baashha is a fictional protagonist, likely portrayed as a strong, central hero figure in the story he appears in.
- 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_69ca847e53a88190a60eed7e02257f10 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd994d31e08190b139f5ad10d8ea31 |
completed | April 1, 2026, 10:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d16144be688190b7120c4f63dc94c3 |
completed | April 4, 2026, 7:06 p.m. |
Created at: March 30, 2026, 8:03 p.m.