Triple

T8776551
Position Surface form Disambiguated ID Type / Status
Subject Poison Arrow E208597 entity
Predicate chronologyPreviousTitle P22762 FINISHED
Object Tears Are Not Enough E208598 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: Tears Are Not Enough | Statement: [Poison Arrow, chronologyPreviousTitle, Tears Are Not Enough]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tears Are Not Enough
Context triple: [Poison Arrow, chronologyPreviousTitle, Tears Are Not Enough]
  • A. Tears Are Not Enough chosen
    "Tears Are Not Enough" is a 1985 Canadian charity single recorded by a supergroup of Canadian artists to raise funds for famine relief in Africa.
  • B. So Many Tears
    "So Many Tears" is a reflective and emotionally charged song by Tupac Shakur that explores themes of pain, loss, and inner turmoil.
  • C. Hold Back the Tears
    "Hold Back the Tears" is a song featured on the album *Dream Street* by American singer Janet Jackson.
  • D. 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.
  • E. There Will Be Tears
    "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.
  • 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_69ca835fbee88190bf625939bac48d7f completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f5086088190b317cf2aac7bee83 completed March 31, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51ceee2c81908d521cc4931e25dd completed April 3, 2026, 5:36 a.m.
Created at: March 30, 2026, 6:42 p.m.