Triple

T22103401
Position Surface form Disambiguated ID Type / Status
Subject Martin Guerre E546224 entity
Predicate notableSong P4 FINISHED
Object “How Many Tears?”
“How Many Tears?” is a song associated with the musical adaptation of the Martin Guerre story, reflecting the production’s dramatic and emotional themes.
 E1518064 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: “How Many Tears?” | Statement: [Martin Guerre, notableSong, “How Many Tears?”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: “How Many Tears?”
Context triple: [Martin Guerre, notableSong, “How Many Tears?”]
  • A. “Many Tears Ago”
    “Many Tears Ago” is a song featured on the classic pop standard album *Sentimental Journey*.
  • B. Too Many Tears
    "Too Many Tears" is a country song recorded by American band Restless Heart, known for their smooth harmonies and melodic, radio-friendly sound.
  • C. So Many Tears
    "So Many Tears" is an R&B/soul song by American singer Regina Belle, showcasing her smooth vocals and emotive, romantic style.
  • D. 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.
  • E. 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.
  • 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: “How Many Tears?”
Triple: [Martin Guerre, notableSong, “How Many Tears?”]
Generated description
“How Many Tears?” is a song associated with the musical adaptation of the Martin Guerre story, reflecting the production’s dramatic and emotional themes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: “How Many Tears?”
Target entity description: “How Many Tears?” is a song associated with the musical adaptation of the Martin Guerre story, reflecting the production’s dramatic and emotional themes.
  • A. “Many Tears Ago”
    “Many Tears Ago” is a song featured on the classic pop standard album *Sentimental Journey*.
  • B. Too Many Tears
    "Too Many Tears" is a country song recorded by American band Restless Heart, known for their smooth harmonies and melodic, radio-friendly sound.
  • C. So Many Tears
    "So Many Tears" is an R&B/soul song by American singer Regina Belle, showcasing her smooth vocals and emotive, romantic style.
  • D. 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.
  • E. 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.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129175a7881909549883f23c53dca completed April 28, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a87a70bd881909ba61f007a3fe0d9 completed May 18, 2026, 3:29 a.m.
NEDg Description generation batch_6a0a895ef5288190a0390f96efd33d44 completed May 18, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_6a0a89c9c35081909c874c659d4a084f completed May 18, 2026, 3:38 a.m.
Created at: April 16, 2026, 8:30 p.m.