Triple

T17538549
Position Surface form Disambiguated ID Type / Status
Subject De Anima E427123 entity
Predicate influenced P9 FINISHED
Object Avicenna 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: Avicenna | Statement: [De Anima, influenced, Avicenna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avicenna
Context triple: [De Anima, influenced, Avicenna]
  • A. Avicenna chosen
    Avicenna was an influential Persian polymath and philosopher of the Islamic Golden Age, best known for his works in metaphysics and medicine, especially "The Book of Healing" and "The Canon of Medicine."
  • B. Al-Razi (Rhazes)
    Al-Razi (Rhazes) was a pioneering Persian polymath and physician renowned for his influential works in medicine, chemistry, and philosophy during the early Islamic world.
  • C. Abu al-Qasim
    Abu al-Qasim is the honorific kunya of Muhammad ibn al-Hanafiyyah, a prominent early Islamic figure and son of Ali ibn Abi Talib.
  • D. Ishaq ibn Hunayn
    Ishaq ibn Hunayn was a 9th-century Abbasid-era physician, translator, and mathematician known for his Arabic translations and commentaries on Greek scientific and philosophical works.
  • E. Abul-Qasim
    Abul-Qasim is the honorific given name of the Persian poet Ferdowsi, famed author of the epic Shahnameh.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4536ec5f48190acff6671712d40c7 completed April 19, 2026, 4 a.m.
Created at: April 10, 2026, 5:49 a.m.