Triple

T17042863
Position Surface form Disambiguated ID Type / Status
Subject To Whom It May Concern E413487 entity
Predicate hasSingle P3282 FINISHED
Object Sinking In E1247588 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: Sinking In | Statement: [To Whom It May Concern, hasSingle, Sinking In]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinking In
Context triple: [To Whom It May Concern, hasSingle, Sinking In]
  • A. Sinking In chosen
    "Sinking In" is a track featured on the album *To Whom It May Concern*, likely contributing to its introspective and personal tone.
  • B. Sinkin' Soon
    "Sinkin' Soon" is a jazz-influenced song by Norah Jones, featured on her 2007 album "Not Too Late."
  • C. We Sink
    We Sink is a song by the Scottish synth-pop band Chvrches from their debut studio album, Beneath the Skin.
  • D. Drowned Out
    Drowned Out is an orchestral composition by contemporary British composer Mark-Anthony Turnage, noted for its vivid, jazz-inflected modernist style.
  • E. Found Drowned
    Found Drowned is a somber 19th-century painting by George Frederic Watts depicting the tragic aftermath of a woman's suicide, reflecting Victorian social concerns and moral themes.
  • 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d8f870c0819087e4a20083d761f1 completed April 18, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ed472d48190bc6aed49464dc1ff completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:33 a.m.