Triple

T20700257
Position Surface form Disambiguated ID Type / Status
Subject Sweet Sue, Just You E508758 entity
Predicate hasTitleCharacter P5716 FINISHED
Object Sweet Sue 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: Sweet Sue | Statement: [Sweet Sue, Just You, hasTitleCharacter, Sweet Sue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweet Sue
Context triple: [Sweet Sue, Just You, hasTitleCharacter, Sweet Sue]
  • A. Sweet Sue
    Sweet Sue is the tough yet maternal leader of an all-female band in the classic 1959 comedy film "Some Like It Hot."
  • B. Sweet Sue, Just You chosen
    "Sweet Sue, Just You" is a popular 1928 jazz and pop standard composed by Victor Young that has been widely recorded and performed by numerous artists.
  • C. Sweetums
    Sweetums is a large, shaggy, ogre-like Muppet character known for his imposing appearance and surprisingly gentle, lovable personality.
  • D. Sweeting
    Sweeting is a surname most notably associated with Bahamian-born American former professional tennis player Ryan Sweeting.
  • E. Sugar on a Stick
    Sugar on a Stick is a portable, USB-based distribution of the Sugar learning environment designed to provide children with an easy, bootable educational platform.
  • 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_69e0b4c2b2a481909e31e9cb8f81ab55 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6c18a77308190b7c2517d82a145cd completed April 21, 2026, 12:15 a.m.
Created at: April 16, 2026, 12:12 p.m.