Triple

T7147863
Position Surface form Disambiguated ID Type / Status
Subject Jill Stein E166613 entity
Predicate hasMedicalLicenseIn P12714 FINISHED
Object Massachusetts E37 NE FINISHED

How this triple was built (3 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: Massachusetts | Statement: [Jill Stein, hasMedicalLicenseIn, Massachusetts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Massachusetts
Context triple: [Jill Stein, hasMedicalLicenseIn, Massachusetts]
  • A. Massachusetts chosen
    Massachusetts is a U.S. state in New England known for its pivotal role in American history, prestigious universities, and major cultural and economic centers like Boston.
  • B. Massachusett
    The Massachusett are an Indigenous Algonquian-speaking people of what is now eastern Massachusetts, historically centered around Massachusetts Bay.
  • C. D. Mass.
    D. Mass. is the standard legal abbreviation for the United States District Court for the District of Massachusetts, a federal trial court within the First Circuit.
  • D. Ayer, Massachusetts
    Ayer, Massachusetts is a small New England town in north-central Massachusetts known for its historic railroad junction, former Fort Devens military base nearby, and role as a local commercial center.
  • E. New Hampshire
    New Hampshire is a small New England state in the northeastern United States known for its mountainous landscapes, early presidential primary, and “Live Free or Die” motto.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMedicalLicenseIn
Context triple: [Jill Stein, hasMedicalLicenseIn, Massachusetts]
  • A. hasLicense chosen
    Indicates that an entity possesses a valid authorization or permit, typically granted by an authority, to perform a specific activity or use something.
  • B. medicalQualificationFrom
    Indicates that a person or medical professional obtained their medical qualification or degree from a specified institution or source.
  • C. requiresLicenseForPractice
    Indicates that engaging in the specified professional practice is legally contingent upon holding a valid license.
  • D. practicedMedicineIn
    Indicates that a person engaged in the professional practice of medicine within a specified location or jurisdiction.
  • E. hasRegulatedProfession
    Indicates that an entity practices or is associated with a profession that is formally regulated by laws, standards, or licensing authorities.
  • F. None of above.

Provenance (4 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_69c68886779c8190a8e3fbabffe68253 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7d6313c8190bdd34e700fc65502 completed March 27, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7b8ee0244819084d5dfb3ee64149b completed March 28, 2026, 11:18 a.m.
PD Predicate disambiguation batch_69c6e1c932888190b125ca3785b18553 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:46 p.m.