Triple

T19933585
Position Surface form Disambiguated ID Type / Status
Subject John Bowlby E479116 entity
Predicate notableWork P4 FINISHED
Object Loss: Sadness and Depression NE NERFINISHED

How this triple was built (3 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: Loss: Sadness and Depression | Statement: [John Bowlby, notableWork, Loss: Sadness and Depression]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loss: Sadness and Depression
Context triple: [John Bowlby, notableWork, Loss: Sadness and Depression]
  • A. Sadness
    Sadness is one of the core emotion characters in Pixar's animated film "Inside Out," embodying the feeling of sorrow and ultimately revealing its importance in emotional balance and empathy.
  • B. Grief
    "Grief" is a musical work by Samora Pinderhughes that explores themes of loss, healing, and emotional resilience through a blend of jazz, soul, and socially conscious composition.
  • C. Sorrow
    Sorrow is a character in Toni Morrison's novel "A Mercy," known as a troubled young woman whose traumatic past and evolving identity reflect the book’s themes of loss, memory, and belonging.
  • D. Sorrow
    "Sorrow" is a melancholic, lyrically introspective song by The National that exemplifies the brooding, atmospheric sound of their album High Violet.
  • E. SAD
    SAD is the vehicle registration code used on license plates for the Schwandorf district in Bavaria, Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Loss: Sadness and Depression
Target entity description: "Loss: Sadness and Depression" is a seminal psychological work by John Bowlby that explores the emotional and developmental impact of bereavement and separation, particularly in the context of attachment theory.
  • A. Sadness
    Sadness is one of the core emotion characters in Pixar's animated film "Inside Out," embodying the feeling of sorrow and ultimately revealing its importance in emotional balance and empathy.
  • B. Grief
    "Grief" is a musical work by Samora Pinderhughes that explores themes of loss, healing, and emotional resilience through a blend of jazz, soul, and socially conscious composition.
  • C. Sorrow
    Sorrow is a character in Toni Morrison's novel "A Mercy," known as a troubled young woman whose traumatic past and evolving identity reflect the book’s themes of loss, memory, and belonging.
  • D. Sorrow
    "Sorrow" is a melancholic, lyrically introspective song by The National that exemplifies the brooding, atmospheric sound of their album High Violet.
  • E. SAD
    SAD is the vehicle registration code used on license plates for the Schwandorf district in Bavaria, Germany.
  • F. None of above. chosen

Provenance (2 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_69d8e521855c8190b41871700afc8d6a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a1553348190a6c4004d3f9a57c5 completed April 20, 2026, 4:53 p.m.
Created at: April 10, 2026, 1:53 p.m.