Triple

T23443262
Position Surface form Disambiguated ID Type / Status
Subject Merman E565460 entity
Predicate notableWork P4 FINISHED
Object Motherland 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: Motherland | Statement: [Merman, notableWork, Motherland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Motherland
Context triple: [Merman, notableWork, Motherland]
  • A. Motherland
    Motherland is a symbolic representation of one’s native country, often personified as a nurturing homeland that embodies national identity, heritage, and patriotic devotion.
  • B. Motherland chosen
    Motherland is a British television sitcom that satirically explores the chaotic lives of middle-class parents navigating school-gate politics and modern family pressures.
  • C. Fatherland
    Fatherland is a 1994 alternate-history thriller film set in a victorious Nazi Germany, in which Rutger Hauer plays a detective uncovering a dangerous political conspiracy.
  • D. Fatherland
    Fatherland is the English name of Batkivshchyna, a major Ukrainian political party led for many years by Yulia Tymoshenko.
  • E. Our Fatherland
    "Our Fatherland" is the English title of "Mer Hayrenik," the national anthem of Armenia.
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a64654e88190b530958b27b32412 completed April 29, 2026, 6:33 a.m.
Created at: April 17, 2026, 5:51 p.m.