Triple

T5469658
Position Surface form Disambiguated ID Type / Status
Subject Jacob Vaark E122798 entity
Predicate employs P7 FINISHED
Object Sorrow E109669 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: Sorrow | Statement: [Jacob Vaark, employs, Sorrow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sorrow
Context triple: [Jacob Vaark, employs, Sorrow]
  • A. Sorrow chosen
    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.
  • B. 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.
  • C. Mourning
    Mourning is a surname most prominently associated with Alonzo Mourning, a Hall of Fame American basketball player known for his dominant defense and shot-blocking in the NBA.
  • D. Lamentation
    "Lamentation" is the deeply expressive third movement of Leonard Bernstein's Symphony No. 1 "Jeremiah," reflecting themes of sorrow and mourning inspired by the biblical Book of Lamentations.
  • E. Lamentation
    Lamentation is a historical crime novel by C.J. Sansom featuring lawyer-detective Matthew Shardlake, set in the turbulent final years of Henry VIII’s reign.
  • 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_69bd46459ff48190823377457bcf7128 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd921b65f48190af7fcf89140f9ba8 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4893029081908a801c7a44872ebf completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:09 p.m.