Triple

T18657247
Position Surface form Disambiguated ID Type / Status
Subject One Hot Minute E456097 entity
Predicate hasTrack P3284 FINISHED
Object Tearjerker
"Tearjerker" is a melancholic, emotionally charged song by the Red Hot Chili Peppers from their 1995 album *One Hot Minute*.
 E1336343 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: Tearjerker | Statement: [One Hot Minute, hasTrack, Tearjerker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tearjerker
Context triple: [One Hot Minute, hasTrack, Tearjerker]
  • A. So Emotional
    "So Emotional" is a 1987 dance-pop song by Whitney Houston that became one of her number-one hits on the Billboard Hot 100.
  • B. Tears
    "Tears" is a 1937 jazz composition co-written and recorded by pioneering gypsy jazz guitarist Django Reinhardt, known for its lyrical melody and prominent place in his repertoire.
  • C. TEAR
    TEAR is the abbreviation for the Spanish Navy’s Tercio de Armada, an elite marine infantry force specializing in amphibious and expeditionary operations.
  • D. Tears of Joy
    "Tears of Joy" is a song featured on the album "Fruit at the Bottom" by the musical duo Wendy & Lisa.
  • E. Tears of Joy
    "Tears of Joy" is a song featured on the country album "Western Wall: The Tucson Sessions" by Linda Ronstadt and Emmylou Harris.
  • 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: Tearjerker
Triple: [One Hot Minute, hasTrack, Tearjerker]
Generated description
"Tearjerker" is a melancholic, emotionally charged song by the Red Hot Chili Peppers from their 1995 album *One Hot Minute*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tearjerker
Target entity description: "Tearjerker" is a melancholic, emotionally charged song by the Red Hot Chili Peppers from their 1995 album *One Hot Minute*.
  • A. So Emotional
    "So Emotional" is a 1987 dance-pop song by Whitney Houston that became one of her number-one hits on the Billboard Hot 100.
  • B. Tears
    "Tears" is a 1937 jazz composition co-written and recorded by pioneering gypsy jazz guitarist Django Reinhardt, known for its lyrical melody and prominent place in his repertoire.
  • C. TEAR
    TEAR is the abbreviation for the Spanish Navy’s Tercio de Armada, an elite marine infantry force specializing in amphibious and expeditionary operations.
  • D. Tears of Joy
    "Tears of Joy" is a song featured on the country album "Western Wall: The Tucson Sessions" by Linda Ronstadt and Emmylou Harris.
  • E. Tears of Joy
    "Tears of Joy" is a song featured on the album "Fruit at the Bottom" by the musical duo Wendy & Lisa.
  • 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e550864b0481909e59fbcc79fda839 completed April 19, 2026, 10 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05172321648190bdce686bb4a2d4c2 completed May 14, 2026, 12:28 a.m.
NEDg Description generation batch_6a05185f550081909a284d833f992da4 completed May 14, 2026, 12:33 a.m.
NED2 Entity disambiguation (via description) batch_6a05190b081481909af7b7aec70d9646 completed May 14, 2026, 12:36 a.m.
Created at: April 10, 2026, 11:48 a.m.