Triple

T13131477
Position Surface form Disambiguated ID Type / Status
Subject Ibn al-Baytar E311974 entity
Predicate alsoKnownAs P39 FINISHED
Object Ibn al-Baitar E1022082 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: Ibn al-Baitar | Statement: [Ibn al-Baytar, alsoKnownAs, Ibn al-Baitar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ibn al-Baitar
Context triple: [Ibn al-Baytar, alsoKnownAs, Ibn al-Baitar]
  • A. Ibn al-Baytar
    Ibn al-Baytar was a prominent 13th-century Andalusian physician and botanist renowned for his influential works on pharmacology and medicinal plants in the Islamic Golden Age.
  • B. Ibn al-Bayṭār chosen
    Ibn al-Bayṭār was a 13th-century Andalusian Arab botanist, pharmacist, and physician renowned for his comprehensive works on medicinal plants and pharmacology.
  • C. Ibn Zuhr
    Ibn Zuhr was a prominent 12th-century Andalusian physician and surgeon whose clinical innovations and medical writings significantly advanced Islamic and European medicine.
  • D. ibn Sharaf
    Ibn Sharaf was a medieval Islamic scholar known as the father of the eminent Shafi'i jurist and hadith master Al-Nawawi.
  • E. 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.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d981b27a8c81909a92ab7be5d3a7e9 completed April 10, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae08a148190af391d173f25b714 completed May 3, 2026, 6:27 a.m.
Created at: April 9, 2026, 9:08 p.m.