Triple

T21590877
Position Surface form Disambiguated ID Type / Status
Subject Islamic Christology E532773 entity
Predicate focusesOn P31 FINISHED
Object ʿĪsā ibn Maryam 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: ʿĪsā ibn Maryam | Statement: [Islamic Christology, focusesOn, ʿĪsā ibn Maryam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ʿĪsā ibn Maryam
Context triple: [Islamic Christology, focusesOn, ʿĪsā ibn Maryam]
  • A. Isa ibn Maryam chosen
    Isa ibn Maryam is the Qur’anic name for Jesus, revered in Islam as a prophet and the son of Mary.
  • B. Nebi Musa
    Nebi Musa is a historic Islamic religious site and pilgrimage destination near Jericho in the West Bank, traditionally associated with the tomb of the Prophet Moses.
  • C. Tawûsê Melek
    Tawûsê Melek is the central peacock-angel figure in Yazidism, revered as a chief divine being and guardian of the world.
  • D. al-Masih
    al-Masih is an honorific title in Islamic tradition referring to Prophet Isa (Jesus) as the divinely appointed, anointed messenger and Messiah.
  • E. Jesús
    Jesús is a common Spanish given name derived from the name of Jesus Christ, widely used across Spanish-speaking countries.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefaddc8508190950b31e2df865ad1 completed April 27, 2026, 5:57 a.m.
Created at: April 16, 2026, 6:32 p.m.