Triple

T18615189
Position Surface form Disambiguated ID Type / Status
Subject Perry Como E455001 entity
Predicate notableWork P4 FINISHED
Object Catch a Falling Star NE NERFINISHED

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: Catch a Falling Star | Statement: [Perry Como, notableWork, Catch a Falling Star]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Catch a Falling Star
Context triple: [Perry Como, notableWork, Catch a Falling Star]
  • A. Catch a Falling Star chosen
    "Catch a Falling Star" is a popular 1957 pop song, best known as one of Perry Como’s signature hits and the first single ever certified gold by the RIAA.
  • B. “Catch a Falling Star”
    “Catch a Falling Star” is a popular 1957 pop song, famously recorded by Perry Como, that became one of his signature hits and the first single ever certified gold by the RIAA.
  • C. Shooting Star
    "Shooting Star" is an Overwatch animated short focusing on the mech-piloting hero D.Va, showcasing her backstory and heroism in Busan.
  • D. Shooting Star
    "Shooting Star" is a crime novel by Australian author Peter Temple, known for its gritty realism and tightly plotted suspense.
  • E. Shooting Star
    The Aichi B7A "Shooting Star" was a Japanese World War II carrier-capable torpedo-dive bomber designed for the Imperial Japanese Navy.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54d04bdc48190b0213132923a7580 completed April 19, 2026, 9:45 p.m.
Created at: April 10, 2026, 11:45 a.m.