Triple
T20125079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonobo |
E490729
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bonobo |
—
|
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: Bonobo | Statement: [Bonobo, name, Bonobo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonobo Context triple: [Bonobo, name, Bonobo]
-
A.
Bonobo
chosen
Bonobo is a British musician, producer, and DJ known for his atmospheric downtempo and electronic music that blends live instrumentation with intricate sampling.
-
B.
Bonobos
Bonobos is a menswear-focused clothing brand and retailer known for its well-fitting pants and modern, casual-professional apparel.
-
C.
Chimp
Chimp is a cartoon chimpanzee character featured as the main protagonist in the animated short "Kenny and the Chimp: Diseasy Does It."
-
D.
Macaca
Macaca is a diverse genus of Old World monkeys that includes numerous macaque species widely distributed across Asia and parts of North Africa.
-
E.
Gorilla
Gorilla is a large, predominantly herbivorous great ape native to the forests of central Sub-Saharan Africa and known for its strength, complex social groups, and close genetic relationship to humans.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667412b888190b43f7dd1ccdbad01 |
completed | April 20, 2026, 5:49 p.m. |
Created at: April 11, 2026, 11:31 p.m.