Triple

T14808960
Position Surface form Disambiguated ID Type / Status
Subject Bitty Schram E348121 entity
Predicate appearedIn P795 FINISHED
Object The Pallbearer E998008 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: The Pallbearer | Statement: [Bitty Schram, appearedIn, The Pallbearer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Pallbearer
Context triple: [Bitty Schram, appearedIn, The Pallbearer]
  • A. The Pallbearer chosen
    The Pallbearer is a 1996 romantic comedy-drama film starring David Schwimmer and Gwyneth Paltrow, centered on a directionless young man who is mistaken for the best friend of a deceased former classmate.
  • B. The Burial
    The Burial is a novel by British author and painter Jennifer Lash, known for its lyrical prose and exploration of family, faith, and personal transformation.
  • C. The Mourner
    The Mourner is a Japanese film in which Kengo Kora stars in a contemplative drama about grief, guilt, and spiritual redemption.
  • D. The Living and the Dead
    The Living and the Dead is a British supernatural drama television series set in Victorian rural England, blending ghostly mysteries with psychological and folk-horror elements.
  • E. The Living and the Dead
    The Living and the Dead is a major poetry collection by Russian poet Arseny Tarkovsky, reflecting his philosophical and lyrical meditations on life, memory, and mortality.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf35a5e081909321193ef37099d1 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c8bc6881908736c029943997ae completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:45 a.m.