Triple

T5068527
Position Surface form Disambiguated ID Type / Status
Subject See You Tonight E114203 entity
Predicate partOf P40 FINISHED
Object ¡Dos! E21058 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: ¡Dos! | Statement: [See You Tonight, partOf, ¡Dos!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ¡Dos!
Context triple: [See You Tonight, partOf, ¡Dos!]
  • A. ¡Dos! chosen
    ¡Dos! is the second album in Green Day’s ¡Uno! ¡Dos! ¡Tré! trilogy, showcasing a garage rock and power pop sound distinct from their earlier punk records.
  • B. Duo
    Duo is a Google-developed video calling application designed for simple, high-quality one-to-one and group conversations across mobile and web platforms.
  • C. One Two
    One Two is a small-time London criminal and the central protagonist in Guy Ritchie's crime film "RocknRolla."
  • D. Two of a Kind
    Two of a Kind is a 1983 romantic fantasy comedy film starring Olivia Newton-John and John Travolta, known for reuniting the Grease co-stars in a quirky, heaven-versus-earth storyline.
  • E. Double D’Z
    Double D’Z is a component or section within the Elevation complex, likely serving as a distinct venue or themed area in that larger establishment.
  • 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_69bd443cf28c8190ad371d603563dbdd completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd749dd1a08190858fa739df024eb4 completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb10bb740819099797240c9f35eb9 completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:39 p.m.