Triple

T20325761
Position Surface form Disambiguated ID Type / Status
Subject ABC Family E492332 entity
Predicate notableOriginalProgramming P93899 FINISHED
Object Kyle XY NE NERFINISHED

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: Kyle XY | Statement: [ABC Family, notableOriginalProgramming, Kyle XY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyle XY
Context triple: [ABC Family, notableOriginalProgramming, Kyle XY]
  • A. Kyle XY chosen
    Kyle XY is an American science fiction television series about a mysterious teenage boy with extraordinary abilities and no memory of his past.
  • B. Xenith
    Xenith is a sports equipment company best known for designing innovative, safety-focused football helmets and protective gear.
  • C. Xandra
    Xandra is a shortened, informal given name derived from Alexandra, often used as a modern, distinctive feminine name.
  • D. X the Unknown
    X the Unknown is a 1956 British science fiction horror film from Hammer Film Productions about a deadly radioactive entity unleashed in the Scottish countryside.
  • E. Xeni
    Xeni is an American journalist, blogger, and media personality best known as a co-editor of the influential tech and culture blog Boing Boing.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a0134081909113563e1c3ba68a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6778f20288190b1862d6be61bfb67 completed April 20, 2026, 6:59 p.m.
Created at: April 16, 2026, 11:21 a.m.