Triple

T14810158
Position Surface form Disambiguated ID Type / Status
Subject Molly Ockett E348156 entity
Predicate associatedWith P37 FINISHED
Object Paris, Maine E45438 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: Paris, Maine | Statement: [Molly Ockett, associatedWith, Paris, Maine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris, Maine
Context triple: [Molly Ockett, associatedWith, Paris, Maine]
  • A. Paris, Maine chosen
    Paris, Maine is a small town in western Maine that serves as the administrative and commercial center of Oxford County.
  • B. Wiscasset, Maine
    Wiscasset, Maine is a historic coastal town on the Sheepscot River known for its well-preserved 18th- and 19th-century architecture and reputation as one of New England’s most picturesque villages.
  • C. York, Maine
    York, Maine is a historic coastal town in southern Maine known for its beaches, lighthouses, and status as one of the oldest European-settled communities in the United States.
  • D. Springfield, Maine
    Springfield, Maine is a small rural town located in Penobscot County in eastern Maine, known for its forested landscape and quiet, sparsely populated setting.
  • E. Belgrade, Maine
    Belgrade, Maine is a small town in central Maine known for its scenic chain of lakes and rural New England character.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf35a5e081909321193ef37099d1 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24ca88748190ae9e66bac5324e25 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:46 a.m.