Triple

T13420111
Position Surface form Disambiguated ID Type / Status
Subject Dream River E313319 entity
Predicate hasTrack P3284 FINISHED
Object The Sing E317252 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: The Sing | Statement: [Dream River, hasTrack, The Sing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Sing
Context triple: [Dream River, hasTrack, The Sing]
  • A. The Sing chosen
    "The Sing" is a track by American singer-songwriter Bill Callahan from his critically acclaimed 2013 album *Dream River*, noted for its meditative, narrative-rich style.
  • B. Singen
    Singen is a town in southwestern Germany near the Swiss border, known for its industrial heritage and proximity to the Hohentwiel volcano and Lake Constance.
  • C. A Song
    "A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
  • D. Sing It!
    Sing It! is a musical comedy web series starring Debby Ryan that parodies televised singing competitions.
  • E. Sing It
    "Sing It" is a 2012 pop single by American singer Rebecca Black that marked a more mature follow-up to her viral debut "Friday."
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb98e808190948013e8f24779c6 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308493e481909da52f8bbcc0bd6b completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:39 p.m.