Triple

T16611368
Position Surface form Disambiguated ID Type / Status
Subject Wookiee E403576 entity
Predicate notableIndividual P20309 FINISHED
Object Gungi E1193965 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: Gungi | Statement: [Wookiee, notableIndividual, Gungi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gungi
Context triple: [Wookiee, notableIndividual, Gungi]
  • A. Gungi chosen
    Gungi is a Wookiee Jedi youngling from the Star Wars universe, known for his distinctive wooden lightsaber and appearances in The Clone Wars.
  • B. Mungiki
    Mungiki is an alternative name for Bellona Island, a small inhabited island in the Solomon Islands known for its raised coral limestone formation and Polynesian culture.
  • C. Pianoti
    Pianoti are the inhabitants of Piana degli Albanesi, a historic Arbëreshë (Albanian-Italian) community in Sicily known for preserving Albanian language and traditions.
  • D. Kitakata
    Kitakata is a city in northern Japan renowned for its traditional kura storehouses and distinctive Kitakata-style ramen.
  • E. Touki Bouki
    Touki Bouki is a 1973 Senegalese avant-garde road film by Djibril Diop Mambéty, celebrated for its innovative style and critique of postcolonial society.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e36096356c819092815d64db041793 completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075aca5c0819092637e0d83ce8ac0 completed May 10, 2026, 12:10 p.m.
Created at: April 10, 2026, 5:17 a.m.