Triple

T13117265
Position Surface form Disambiguated ID Type / Status
Subject Anne Case E311125 entity
Predicate familyName P18 FINISHED
Object Case E119944 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: Case | Statement: [Anne Case, familyName, Case]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Case
Context triple: [Anne Case, familyName, Case]
  • A. Case chosen
    Case is a common English surname borne by various notable individuals across fields such as business, politics, and the arts.
  • B. CASE
    CASE is the commonly used acronym for the College of Arts, Sciences & Education, an academic division encompassing a broad range of liberal arts, scientific, and educational disciplines.
  • C. Caso
    Caso is a Spanish-language surname borne by various notable individuals, including Mexican archaeologist and anthropologist Alfonso Caso.
  • D. Case Nuove
    Case Nuove is a small locality in northern Italy that forms a frazione of the municipality of Somma Lombardo in the Lombardy region.
  • E. Case Theory
    Case Theory is a component of generative grammar that explains how noun phrases receive abstract case features from governing elements within a sentence’s syntactic structure.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98182011c8190a504678affbb7787 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e284c3c881909d65e2ba89fbe7af completed May 3, 2026, 5:52 a.m.
Created at: April 9, 2026, 9:06 p.m.