Triple

T15343081
Position Surface form Disambiguated ID Type / Status
Subject Imelda May E366845 entity
Predicate notableSong P4 FINISHED
Object Black Tears
"Black Tears" is a soulful, emotionally charged song by Irish singer-songwriter Imelda May, showcasing her shift toward a more introspective, jazz- and blues-influenced style.
 E1151015 NE FINISHED

How this triple was built (4 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: Black Tears | Statement: [Imelda May, notableSong, Black Tears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Black Tears
Context triple: [Imelda May, notableSong, Black Tears]
  • A. Bitter Tears
    "Bitter Tears" is a song featured on Rufus Wainwright's album "Out of the Game."
  • B. Ocean of Tears
    "Ocean of Tears" is a song by the American experimental pop group Code Red.
  • C. Out of Tears
    Out of Tears is a 1994 ballad by The Rolling Stones, known for its melancholic tone and reflective lyrics, released as a single from their album "Voodoo Lounge."
  • D. She No Longer Weeps
    She No Longer Weeps is a stage play by Zimbabwean writer Tsitsi Dangarembga that explores themes of gender, independence, and postcolonial African society.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Black Tears
Triple: [Imelda May, notableSong, Black Tears]
Generated description
"Black Tears" is a soulful, emotionally charged song by Irish singer-songwriter Imelda May, showcasing her shift toward a more introspective, jazz- and blues-influenced style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Black Tears
Target entity description: "Black Tears" is a soulful, emotionally charged song by Irish singer-songwriter Imelda May, showcasing her shift toward a more introspective, jazz- and blues-influenced style.
  • A. Bitter Tears
    "Bitter Tears" is a song featured on Rufus Wainwright's album "Out of the Game."
  • B. Ocean of Tears
    "Ocean of Tears" is a song by the American experimental pop group Code Red.
  • C. Out of Tears
    Out of Tears is a 1994 ballad by The Rolling Stones, known for its melancholic tone and reflective lyrics, released as a single from their album "Voodoo Lounge."
  • D. She No Longer Weeps
    She No Longer Weeps is a stage play by Zimbabwean writer Tsitsi Dangarembga that explores themes of gender, independence, and postcolonial African society.
  • 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. chosen

Provenance (5 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e14d8088190876fceca75d12322 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01f70e688190bb6a073e49ff968c completed May 9, 2026, 9:44 a.m.
NEDg Description generation batch_69ff02745d1c819099f6261eced78dd0 completed May 9, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_69ff031d58048190852dae8a18981d35 completed May 9, 2026, 9:49 a.m.
Created at: April 10, 2026, 3:17 a.m.