Triple

T23138850
Position Surface form Disambiguated ID Type / Status
Subject Seesaw E577399 entity
Predicate featuresSong P2152 FINISHED
Object Seesaw (title song) E577399 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: Seesaw (title song) | Statement: [Seesaw, featuresSong, Seesaw (title song)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seesaw (title song)
Context triple: [Seesaw, featuresSong, Seesaw (title song)]
  • A. Ride My See-Saw
    "Ride My See-Saw" is a 1968 psychedelic rock song by The Moody Blues known for its energetic tempo, philosophical lyrics, and prominent use of Mellotron.
  • B. Seesaw chosen
    Seesaw is a 1973 Broadway musical with music by Cy Coleman and lyrics by Dorothy Fields, known for its New York City setting and for showcasing Tommy Tune’s Tony Award–winning performance.
  • C. See Saw
    "See Saw" is a soulful R&B song popularized by Aretha Franklin, showcasing her powerful vocals and emotive style.
  • D. The See-Saw
    The See-Saw is a playful Rococo painting by Jean-Honoré Fragonard that depicts elegantly dressed figures enjoying a garden pastime with a light, flirtatious atmosphere.
  • E. Sing-A-Song
    "Sing-A-Song" is a house music track by American singer Byron Stingily, known for its uplifting vocals and classic Chicago house sound.
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e8e23988190814524f63a7efe36 completed April 29, 2026, 4:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c308db8288190b036cd297820da7c completed May 19, 2026, 9:42 a.m.
Created at: April 17, 2026, 4 p.m.