Triple

T7742161
Position Surface form Disambiguated ID Type / Status
Subject Pumbaa E175535 entity
Predicate companionOf P22642 FINISHED
Object Timon E173070 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: Timon | Statement: [Pumbaa, companionOf, Timon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timon
Context triple: [Pumbaa, companionOf, Timon]
  • A. Timon chosen
    Timon is a wisecracking meerkat from Disney’s The Lion King, best known as Simba’s carefree friend and one half of the comic duo Timon and Pumbaa.
  • B. Silvius
    Silvius is a masculine given name of Latin origin, historically associated with ancient Roman figures and later adapted into various European languages.
  • C. Ramolino
    Ramolino is an Italian surname historically associated with Corsican nobility and notably borne by Letizia Ramolino, the mother of Napoleon Bonaparte.
  • D. Sophillus
    Sophillus was the father of the ancient Greek tragedian Sophocles, about whom little is known beyond his paternal connection to the playwright.
  • E. Daphnis
    Daphnis is a young shepherd and one of the two pastoral lovers at the center of the ancient Greek romance "Daphnis and Chloe."
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70387807081909546bc7c209955ef completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6b95f108190a726bf4c6d77bb62 completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:07 p.m.