Triple
T8628427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neel Sethi |
E204336
|
entity |
| Predicate | portrayedCharacter |
P1668
|
FINISHED |
| Object | Mowgli |
E197207
|
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: Mowgli | Statement: [Neel Sethi, portrayedCharacter, Mowgli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mowgli Context triple: [Neel Sethi, portrayedCharacter, Mowgli]
-
A.
Mowgli
chosen
Mowgli is the fictional human "man-cub" raised by wolves in the Indian jungle, best known as the central character of Rudyard Kipling's The Jungle Book stories and their many adaptations.
-
B.
Shere Khan
Shere Khan is the fearsome, man-hating Bengal tiger who serves as the primary antagonist in Rudyard Kipling’s "The Jungle Book" and its adaptations.
-
C.
Bagheera
Bagheera is the wise and protective black panther who mentors and safeguards Mowgli in Disney’s live-action adaptation of The Jungle Book.
-
D.
Baloo
Baloo is the easygoing, honey-loving bear who serves as a mentor and friend to Mowgli in Disney’s adaptation of The Jungle Book.
-
E.
Simba
Simba is the stage name of Tanzanian singer and songwriter Diamond Platnumz, a leading figure in contemporary Bongo Flava and East African pop music.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc473f6b888190ae40d65f24122c88 |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc02b4008190a70ca8eb6f43926d |
completed | April 2, 2026, 6:57 p.m. |
Created at: March 30, 2026, 6:27 p.m.