Triple

T4248651
Position Surface form Disambiguated ID Type / Status
Subject Al-Zahrawi E95788 entity
Predicate influencedBy P9 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: [Al-Zahrawi, influencedBy, Galen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galen
Context triple: [Al-Zahrawi, influencedBy, 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. Dioscorus of Alexandria
    Dioscorus of Alexandria was a 5th-century Coptic patriarch of Alexandria whose controversial leadership and Christological views played a central role in the theological conflicts surrounding the Council of Chalcedon.
  • C. Dorotheus
    Dorotheus was a 6th-century Byzantine jurist who helped systematize and codify Roman law under Emperor Justinian I.
  • D. Dorotheus
    Dorotheus is a relatively obscure historical or religious figure known primarily through their association with Theophilus.
  • E. Hippocrates of Gela
    Hippocrates of Gela was a powerful early 5th-century BC tyrant of the Sicilian city of Gela, known for expanding its territory and influence through military campaigns.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e9df10881908a2f039773f8afaa completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a87fdca481908bd2c80b10d0dd3d completed March 14, 2026, 6:27 p.m.
Created at: March 12, 2026, 11:06 p.m.