Triple

T21343829
Position Surface form Disambiguated ID Type / Status
Subject Janice Logan E526273 entity
Predicate familyName P18 FINISHED
Object Logan 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: Logan | Statement: [Janice Logan, familyName, Logan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Logan
Context triple: [Janice Logan, familyName, Logan]
  • A. Logan chosen
    Logan is a name commonly used as both a given name and surname in English-speaking countries.
  • B. Logan
    Logan is a small village in eastern New Mexico, United States, known for its proximity to Ute Lake and its role as a local recreational and service hub in Quay County.
  • C. Logan
    Logan is a residential neighborhood in North Philadelphia, Pennsylvania, known for its rowhouses and proximity to institutions like La Salle University.
  • D. Logan
    Logan is a neighborhood in Wyoming, Ohio, that serves as the community surrounding the Wyoming train station.
  • E. Logan
    Logan is a small village located within the council area of East Ayrshire in southwest Scotland.
  • 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_69e0b51c33048190ab27cede74ef798c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8a85274f481909e699b390bed9350 completed April 22, 2026, 10:52 a.m.
Created at: April 16, 2026, 4:44 p.m.