Triple

T12551937
Position Surface form Disambiguated ID Type / Status
Subject The Wizard of Oz in Concert: Dreams Come True E300117 entity
Predicate featuresCharacter P626 FINISHED
Object Cowardly Lion E49588 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: Cowardly Lion | Statement: [The Wizard of Oz in Concert: Dreams Come True, featuresCharacter, Cowardly Lion]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cowardly Lion
Context triple: [The Wizard of Oz in Concert: Dreams Come True, featuresCharacter, Cowardly Lion]
  • A. The Cowardly Lion chosen
    The Cowardly Lion is a fictional lion from L. Frank Baum’s Oz stories, best known as Dorothy’s timid yet ultimately brave companion in "The Wizard of Oz."
  • B. Zazu
    Zazu is the uptight yet loyal red-billed hornbill who serves as Mufasa’s majordomo in Disney’s The Lion King.
  • C. The Tin Man
    The Tin Man is a beloved fictional character from L. Frank Baum’s Oz stories, best known as the heart-seeking, metal woodsman who journeys with Dorothy to see the Wizard.
  • D. The Flying Monkey
    The Flying Monkey is a historic movie house and live performance venue known for hosting films, concerts, and cultural events.
  • E. The Scarecrow
    The Scarecrow is a work best known as a notable creation of writer Joe Roberts.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9548444d081908f00cea1ce7032c7 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655853ecc8190b178a489d806a0c4 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:58 p.m.