Triple

T9186002
Position Surface form Disambiguated ID Type / Status
Subject Betsy E220459 entity
Predicate hasRelatedName P3889 FINISHED
Object Elsie E214702 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: Elsie | Statement: [Betsy, hasRelatedName, Elsie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elsie
Context triple: [Betsy, hasRelatedName, Elsie]
  • A. Elsie
    Elsie is a fictional character from the post-apocalyptic virtual reality game "After the Fall."
  • B. Elsie
    Elsie is the internal codename Apple used for the Macintosh LC personal computer during its development.
  • C. Elsie chosen
    Elsie is a feminine given name, originally a diminutive of Elizabeth, that has become a standalone name in its own right.
  • D. Maidie
    Maidie is the central character of the television series "Dads," around whom the show's primary storylines and character dynamics revolve.
  • E. Mollie
    Mollie was the affectionate nickname of Mary Pinkney Hardy MacArthur, the wife of U.S. General Douglas MacArthur.
  • 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccc31a52508190a83ccd76f3aa039b completed April 1, 2026, 7:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c1e163c8190bf9a85de7569c14d completed April 4, 2026, 12:32 a.m.
Created at: March 30, 2026, 7:24 p.m.