Triple

T11338308
Position Surface form Disambiguated ID Type / Status
Subject Adam Horovitz E268528 entity
Predicate spouse P13 FINISHED
Object Ione Skye E705014 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: Ione Skye | Statement: [Adam Horovitz, spouse, Ione Skye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ione Skye
Context triple: [Adam Horovitz, spouse, Ione Skye]
  • A. Ione Skye chosen
    Ione Skye is a British-American actress best known for her role as Diane Court in the 1989 romantic comedy film "Say Anything...."
  • B. Azura Skye
    Azura Skye is an American actress known for her roles in film and television, including appearances in "Buffy the Vampire Slayer," "American Horror Story," and various independent movies.
  • C. Aeryn Sun
    Aeryn Sun is a former Peacekeeper officer turned renegade and key member of the crew in the science fiction television series "Farscape."
  • D. Jorane Sutt
    Jorane Sutt is a political figure in Isaac Asimov’s Foundation universe, known for his role in the power struggles within the early Foundation government.
  • E. Shiva Rose
    Shiva Rose is an American actress, blogger, and holistic lifestyle advocate known for her work in film and television as well as her natural beauty and wellness brand.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea008b5081908e6c6c6fc29ef936 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5433d3e848190ad4f51c23d5a8bb2 completed April 19, 2026, 9:03 p.m.
Created at: April 8, 2026, 9:33 p.m.