Triple
T22153304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jungle Cubs |
E547468
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object | Baloo |
—
|
NE NERFINISHED |
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: Baloo | Statement: [Jungle Cubs, hasMainCharacter, Baloo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baloo Context triple: [Jungle Cubs, hasMainCharacter, Baloo]
-
A.
Baloo
chosen
Baloo is the easygoing, honey-loving bear who serves as a mentor and friend to Mowgli in Disney’s adaptation of The Jungle Book.
-
B.
Pumbaa
Pumbaa is a lovable, flatulent warthog from Disney’s The Lion King, best known as Timon’s carefree companion who helps raise Simba under the “Hakuna Matata” philosophy.
-
C.
Simba
Simba is the lion prince who becomes king in Disney's animated film "The Lion King," known for his journey from guilt-ridden exile to courageous leader.
-
D.
Simba
Simba is a dialect of the Kisukuma language spoken by the Sukuma people of Tanzania.
-
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 (2 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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f5a740819093628386732b91a6 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.