Triple

T16611496
Position Surface form Disambiguated ID Type / Status
Subject Mallatobuck E403579 entity
Predicate name P16 FINISHED
Object Mallatobuck E403579 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: Mallatobuck | Statement: [Mallatobuck, name, Mallatobuck]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mallatobuck
Context triple: [Mallatobuck, name, Mallatobuck]
  • A. Mallatobuck chosen
    Mallatobuck, often called Malla, is Chewbacca’s Wookiee wife from the Star Wars universe, known primarily from the Star Wars Holiday Special and related expanded media.
  • B. Milchbuck
    Milchbuck is a public transportation stop in Zurich, Switzerland, serving as a key access point to the nearby Irchel university campus and surrounding urban areas.
  • C. Buckens
    Buckens is the surname of Celine Buckens, a Belgian-born British actress known for roles in films and television series such as "War Horse" and "Showtrial."
  • D. Boontling
    Boontling is a highly localized and inventive American English argot developed in the late 19th century in Boonville, California, known for its unique vocabulary and obscure origins.
  • E. Coxen
    Coxen is a surname variant of Cox, typically of English origin.
  • 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.