Triple

T15355013
Position Surface form Disambiguated ID Type / Status
Subject Dr. Julia Harris E367149 entity
Predicate employerOf P7 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: [Dr. Julia Harris, employerOf, Dale Arbus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dale Arbus
Context triple: [Dr. Julia Harris, employerOf, 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. Doon Arbus
    Doon Arbus is an American writer and curator best known for preserving and promoting the photographic legacy of her mother, Diane Arbus.
  • C. Allan Arbus
    Allan Arbus was an American actor and former photographer best known for his role as psychiatrist Dr. Sidney Freedman on the television series M*A*S*H.
  • D. 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.
  • E. 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.
  • 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_69d85a1483788190ad93c2748e8af34b completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2c00648190ae2325e1ee58dcfd completed April 16, 2026, 1:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff02012fa48190a108f1ca710ffb15 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:18 a.m.