Triple

T8903884
Position Surface form Disambiguated ID Type / Status
Subject Supernova E211998 entity
Predicate chronologyPreviousTitle P22762 FINISHED
Object There Will Be Tears E212000 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: There Will Be Tears | Statement: [Supernova, chronologyPreviousTitle, There Will Be Tears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: There Will Be Tears
Context triple: [Supernova, chronologyPreviousTitle, There Will Be Tears]
  • A. There Will Be Tears chosen
    "There Will Be Tears" is a pop and R&B-influenced song by British singer-songwriter and producer Mr Hudson, known for its emotional lyrics and polished, melodic production.
  • B. Talk Thru the Tears
    "Talk Thru the Tears" is a song featured on the album "Blue with Lou," showcasing a blend of rock and introspective lyricism.
  • C. All Out of Tears
    "All Out of Tears" is a song featured on the country music album "On Purpose" by Clint Black.
  • D. The Tracks of My Tears
    "The Tracks of My Tears" is a classic 1965 soul ballad by Smokey Robinson & The Miracles, celebrated for its poignant lyrics and emotive vocal performance.
  • E. Hold Back the Tears
    "Hold Back the Tears" is a song featured on the album *Dream Street* by American singer Janet Jackson.
  • 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_69ca839255248190b43984294abd92ae completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc64c2509881908fb692522d348e96 completed April 1, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba26bc7881908639e9a812dec894 completed April 3, 2026, 1:01 p.m.
Created at: March 30, 2026, 6:55 p.m.