Triple

T13720188
Position Surface form Disambiguated ID Type / Status
Subject Jake Schreier E329009 entity
Predicate directed P7373 FINISHED
Object Minx E452900 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: Minx | Statement: [Jake Schreier, directed, Minx]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Minx
Context triple: [Jake Schreier, directed, Minx]
  • A. Minx chosen
    Minx is an American comedy-drama television series set in the 1970s publishing world that follows the creation of a pioneering feminist erotic magazine.
  • B. Misti
    Misti is a prominent, snow-capped stratovolcano overlooking the city of Arequipa in southern Peru.
  • C. Missy
    Missy is the female incarnation of the Master, a recurring Time Lord villain and nemesis of the Doctor in the British science fiction series Doctor Who.
  • D. Missy
    Missy is a small Swiss municipality located in the canton of Vaud.
  • E. Roxy
    Roxy is a feminine given name, commonly used as a diminutive or nickname for Roxane or Roxanne.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd439a121c81908cae964e7756274c completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d5c4f848190993f829824eabbef completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.