Triple

T1933081
Position Surface form Disambiguated ID Type / Status
Subject John Galen Howard E40988 entity
Predicate middleName P143 FINISHED
Object Galen E151145 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: Galen | Statement: [John Galen Howard, middleName, Galen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galen
Context triple: [John Galen Howard, middleName, Galen]
  • A. Galen chosen
    Galen was a prominent Greek physician, surgeon, and philosopher in the Roman Empire whose medical writings dominated European medicine for over a millennium.
  • B. Dorotheus
    Dorotheus was a 6th-century Byzantine jurist who helped systematize and codify Roman law under Emperor Justinian I.
  • C. Dorotheus
    Dorotheus is a relatively obscure historical or religious figure known primarily through their association with Theophilus.
  • D. Hippocrates
    Hippocrates was an ancient Greek physician often called the "Father of Medicine" for his foundational contributions to medical ethics and clinical practice.
  • E. Claudius Ptolemaeus
    Claudius Ptolemaeus, commonly known as Ptolemy, was a Greco-Roman mathematician, astronomer, and geographer whose geocentric model of the universe and influential works like the Almagest shaped scientific thought for over a millennium.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb299f3c48190a5021d320ded4405 completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3f16d0c8190967862b68e6cc373 completed March 8, 2026, 10:10 p.m.
Created at: March 4, 2026, 7:35 p.m.