Triple
T7730307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apur Sansar |
E175230
|
entity |
| Predicate | followsCharacterArcOf |
P20798
|
FINISHED |
| Object | Apu Roy |
E644280
|
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: Apu Roy | Statement: [Apur Sansar, followsCharacterArcOf, Apu Roy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apu Roy Context triple: [Apur Sansar, followsCharacterArcOf, Apu Roy]
-
A.
Apu
chosen
Apu is a fictional Bengali boy whose coming-of-age journey in Satyajit Ray’s acclaimed Apu Trilogy has become one of world cinema’s most celebrated portraits of childhood and youth.
-
B.
Apu Nahasapeemapetilon
Apu Nahasapeemapetilon is a recurring character from the animated television series "The Simpsons," known as the hardworking owner of the Kwik-E-Mart convenience store.
-
C.
Babu
Babu was a hereditary aristocratic title used by the ruling family of the Jagdishpur estate in India.
-
D.
Pi Patel
Pi Patel is the introspective teenage protagonist of Yann Martel’s novel "Life of Pi," who survives a shipwreck and endures a harrowing ocean voyage that tests his faith, resilience, and imagination.
-
E.
Munna
Munna is a 2007 Indian Telugu-language action drama film starring Prabhas as a college student seeking revenge against a powerful mafia leader.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703358cf881909df8496d943d6de7 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8be3244088190be26dec90db9cfb3 |
completed | March 29, 2026, 5:52 a.m. |
Created at: March 27, 2026, 4:06 p.m.