Triple

T6492355
Position Surface form Disambiguated ID Type / Status
Subject Nick Hendricks E148071 entity
Predicate hasFriend P8712 FINISHED
Object Dale Arbus E74777 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: Dale Arbus | Statement: [Nick Hendricks, hasFriend, Dale Arbus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dale Arbus
Context triple: [Nick Hendricks, hasFriend, Dale Arbus]
  • A. Dale Arbus chosen
    Dale Arbus is a dental assistant and one of the three hapless friends plotting to kill their abusive employers in the dark comedy film "Horrible Bosses."
  • B. Dorothy Stratten
    Dorothy Stratten was a Canadian Playboy Playmate and rising film actress whose promising career was tragically cut short when she was murdered at age 20 in 1980.
  • C. Diane Arbus
    Diane Arbus was an American photographer renowned for her stark, intimate portraits of marginalized and unconventional subjects that challenged traditional notions of beauty and normalcy.
  • D. Margaret Keane
    Margaret Keane is an American artist best known for her distinctive paintings of figures with oversized, melancholy eyes, which became the subject of a famous art fraud scandal and the film "Big Eyes."
  • E. Nan Goldin
    Nan Goldin is an American photographer renowned for her intimate, candid portraits and diaristic documentation of LGBTQ+ communities, relationships, and the AIDS crisis.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9bf9208190b0957eda06ed3d65 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653bf5c30819083e4e5484b2bd8cc completed March 27, 2026, 9:54 a.m.
Created at: March 22, 2026, 4:53 p.m.