Triple

T9090117
Position Surface form Disambiguated ID Type / Status
Subject Kate Beahan E217858 entity
Predicate notableWork P4 FINISHED
Object Mistresses E439126 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: Mistresses | Statement: [Kate Beahan, notableWork, Mistresses]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mistresses
Context triple: [Kate Beahan, notableWork, Mistresses]
  • A. Mistresses chosen
    Mistresses is an American television drama series that follows the complicated romantic and personal lives of four female friends.
  • B. The Mistress
    The Mistress is the later female incarnation of the Doctor’s longtime Time Lord nemesis the Master in the British science-fiction series Doctor Who.
  • C. The Mistress
    The Mistress is a collection of love poems by 17th-century English metaphysical poet Abraham Cowley, exploring themes of passion, desire, and romantic idealization.
  • D. Mistress Quickly
    Mistress Quickly is a comic, talkative hostess and recurring character in Shakespeare’s Henry IV plays and The Merry Wives of Windsor, known for her malapropisms and bustling presence in tavern scenes.
  • E. Good Wives
    Good Wives is the 1869 sequel to Louisa May Alcott’s novel Little Women, continuing the story of the March sisters into adulthood, marriage, and early married life.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc965971f88190acffbf204c11832b completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017e0d3cc8190b3e92b0a8f18489f completed April 3, 2026, 7:41 p.m.
Created at: March 30, 2026, 7:14 p.m.