Triple
T15904371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dana Olsen |
E385671
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | George of the Jungle |
E177176
|
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: George of the Jungle | Statement: [Dana Olsen, notableWork, George of the Jungle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George of the Jungle Context triple: [Dana Olsen, notableWork, George of the Jungle]
-
A.
George of the Jungle
chosen
George of the Jungle is a 1997 live-action slapstick comedy film, based on the 1960s animated series, about a vine-swinging jungle man who navigates modern civilization and romantic entanglements.
-
B.
King of the Jungle
King of the Jungle is the honorary title awarded to the overall winner of the reality TV show "I'm a Celebrity...Get Me Out of Here!"
-
C.
Koala Kong
Koala Kong is a muscular, anthropomorphic koala who appears as a boss character in the Crash Bandicoot video game series.
-
D.
Palooka
Palooka is a 1934 American comedy film based on the popular comic strip about a naive but talented boxer, starring Jimmy Durante and Lupe Vélez.
-
E.
Crystal the Monkey
Crystal the Monkey is a capuchin monkey actress best known for her roles in films and TV shows such as "The Hangover Part II," "Night at the Museum," and "Community."
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1563f74d88190a3d92ca0ad46e867 |
completed | April 16, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb051a05081908c349cd9a1ff247a |
completed | May 9, 2026, 10:08 p.m. |
Created at: April 10, 2026, 4:52 a.m.