Triple

T10004955
Position Surface form Disambiguated ID Type / Status
Subject Mechanical Bull E198217 entity
Predicate hasTrack P3284 FINISHED
Object Family Tree E735148 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: Family Tree | Statement: [Mechanical Bull, hasTrack, Family Tree]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Family Tree
Context triple: [Mechanical Bull, hasTrack, Family Tree]
  • A. Family Tree
    Family Tree is a renowned performance art piece by Chinese artist Zhang Huan in which his face is progressively covered with calligraphic text, exploring themes of identity, memory, and cultural heritage.
  • B. Family Tree chosen
    Family Tree is a monumental wood sculpture by artist Emilie Benes Brzezinski, known for its towering, organically carved tree forms that explore themes of nature, memory, and lineage.
  • C. FamilyTreeDNA
    FamilyTreeDNA is a genetic testing company that offers DNA analysis services for ancestry, genealogy, and family history research.
  • D. Family Nest
    Family Nest is a 1979 Hungarian drama film directed by Béla Tarr that portrays the claustrophobic tensions of a young couple forced to live with extended family in a cramped apartment.
  • E. Family Lines System
    The Family Lines System was a marketing and operating alliance of several southeastern U.S. railroads in the 1970s–1980s that coordinated services under a common brand while retaining separate corporate identities.
  • 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_69ca830fcca48190bbbd9b20c233835f completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cdcd157d9c8190b863e4264f9a48b1 completed April 2, 2026, 1:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69d26a5058a08190b850d30ca0ee8bc8 completed April 5, 2026, 1:57 p.m.
Created at: March 30, 2026, 8:51 p.m.