Triple

T2179138
Position Surface form Disambiguated ID Type / Status
Subject The Scarecrow E48999 entity
Predicate portrayedBy P1507 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: [The Scarecrow, portrayedBy, Ray Bolger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ray Bolger
Context triple: [The Scarecrow, portrayedBy, 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbeefb7648190b8fc57cf60553579 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6af200948190a2d8866946012de4 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:45 p.m.