Triple

T2172375
Position Surface form Disambiguated ID Type / Status
Subject We're Off to See the Wizard E48454 entity
Predicate performer P1363 FINISHED
Object Ray Bolger E48998 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: Ray Bolger | Statement: [We're Off to See the Wizard, performer, Ray Bolger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Bolger
Context triple: [We're Off to See the Wizard, performer, Ray Bolger]
  • A. Ray Bolger chosen
    Ray Bolger was an American actor, singer, and dancer best known for his iconic role as the Scarecrow in the classic 1939 film "The Wizard of Oz."
  • B. Cesar Romero
    Cesar Romero was an American actor and dancer best known for his suave supporting roles in classic Hollywood films and for portraying the Joker in the 1960s Batman television series.
  • C. Lionel Atwill
    Lionel Atwill was an English-American character actor best known for his sinister roles in 1930s and 1940s horror and mystery films.
  • D. Mae Questel
    Mae Questel was an American actress and voice artist best known for originating the iconic cartoon voices of Betty Boop and Olive Oyl.
  • E. Bela Lugosi
    Bela Lugosi was a Hungarian-American actor best known for his iconic portrayal of Count Dracula in early horror cinema.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbec98a648190907ef4c6cad916d3 completed March 7, 2026, 5:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae58f6c8c8819081a06861f6133fe9 completed March 9, 2026, 5:21 a.m.
Created at: March 4, 2026, 7:45 p.m.