Triple

T14888664
Position Surface form Disambiguated ID Type / Status
Subject Jordan Kerner E359695 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: [Jordan Kerner, 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: [Jordan Kerner, 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f6cf5c8190b6b28f58fafe5d59 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5f22c08190a9530cbd78cfc801 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 2:09 a.m.