Triple

T8135618
Position Surface form Disambiguated ID Type / Status
Subject Super Technirama 70 E189961 entity
Predicate competesWith P1375 FINISHED
Object Todd-AO E55677 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: Todd-AO | Statement: [Super Technirama 70, competesWith, Todd-AO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Todd-AO
Context triple: [Super Technirama 70, competesWith, Todd-AO]
  • A. Todd-AO chosen
    Todd-AO is a high-resolution widescreen motion picture film format and production system developed in the 1950s to provide an immersive, large-screen cinematic experience.
  • B. Todd
    Todd is the maiden surname of Mary Todd Lincoln, the First Lady of the United States during Abraham Lincoln’s presidency.
  • C. AO
    AO is the two-letter ISO 3166-1 alpha-2 country code representing Angola in international standards and systems.
  • D. AO
    AO is a UK-based online electricals retailer known for selling appliances and consumer electronics through its e-commerce platform and associated services.
  • E. AO
    AO is the commonly used abbreviation for the Administrative Office of the United States Courts, the federal agency that provides administrative support to the U.S. federal judiciary.
  • 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_69ca82bcb4848190a9a9d036ad768642 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb43fff6e0819086c95b571272b50c completed March 31, 2026, 3:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc949065248190b67ba7aa2688903e completed April 1, 2026, 3:44 a.m.
Created at: March 30, 2026, 5:35 p.m.