Triple
T23145921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gitarzan |
E577585
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Gitarzan (jungle man) |
—
|
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: Gitarzan (jungle man) | Statement: [Gitarzan, hasCharacter, Gitarzan (jungle man)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gitarzan (jungle man) Context triple: [Gitarzan, hasCharacter, Gitarzan (jungle man)]
-
A.
Jungle Man
"Jungle Man" is a funk rock song by the Red Hot Chili Peppers from their 1985 album *Freaky Styley*, showcasing the band's early energetic and experimental style.
-
B.
Gitarzan
chosen
Gitarzan is a 1969 novelty song by Ray Stevens that humorously portrays a jungle man turned rock musician, blending comedy with pop and rock elements.
-
C.
Jimi (Jarawan)
Jimi (Jarawan) is a Jarawan Bantu language spoken in parts of Nigeria, known for its place within the broader Bantu-related linguistic group of West Africa.
-
D.
Tarzanbocht
Tarzanbocht is the famous tight first corner at Circuit Zandvoort, known for its heavy braking, overtaking opportunities, and steep banking.
-
E.
Jimbo
Jimbo is a character from the Australian short film "I Love Sarah Jane," which follows a group of kids navigating adolescence amid a zombie apocalypse.
- 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_69e245f8e6248190ba3d58e068b4dccb |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18ece211c81908b53e98f0acae09a |
completed | April 29, 2026, 4:53 a.m. |
Created at: April 17, 2026, 4:01 p.m.