Triple

T20456661
Position Surface form Disambiguated ID Type / Status
Subject Margie Carsen E501805 entity
Predicate employer P7 FINISHED
Object Metropolitan Public Library 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: Metropolitan Public Library | Statement: [Margie Carsen, employer, Metropolitan Public Library]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metropolitan Public Library
Context triple: [Margie Carsen, employer, Metropolitan Public Library]
  • A. Metropolitan Public Library chosen
    The Metropolitan Public Library is a fictional, artifact-filled library that serves as the central backdrop for the adventure film "The Librarian: Quest for the Spear."
  • B. Leon Public Library
    Leon Public Library is a community library serving the residents of Leon, a small city in southern Iowa.
  • C. Southworth Library
    Southworth Library is the public library serving the community of Dartmouth, Massachusetts, providing local residents with access to books, media, and educational resources.
  • D. Southworth Library
    Southworth Library is the public library serving the community of Dryden, New York, providing local residents with access to books, media, and educational resources.
  • E. Penfield Library
    Penfield Library is the main academic library at SUNY Oswego, providing research resources, study spaces, and information services to the university community.
  • 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_69e0b4ad4940819098cf2ff6413574e5 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e696a1b03c8190984d9db6d3251308 completed April 20, 2026, 9:12 p.m.
Created at: April 16, 2026, 11:32 a.m.