Triple

T11221493
Position Surface form Disambiguated ID Type / Status
Subject Umar ibn Saʿd E265577 entity
Predicate name P16 FINISHED
Object Umar ibn Saʿd E265577 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: Umar ibn Saʿd | Statement: [Umar ibn Saʿd, name, Umar ibn Saʿd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Umar ibn Saʿd
Context triple: [Umar ibn Saʿd, name, Umar ibn Saʿd]
  • A. Umar ibn Saʿd chosen
    Umar ibn Saʿd was an Umayyad military leader best known for leading the forces that killed Husayn ibn Ali at the Battle of Karbala in 680 CE.
  • B. Umar II
    Umar II was an Umayyad caliph renowned for his piety, administrative reforms, and efforts to govern according to Islamic principles.
  • C. Umar
    Umar is a powerful extra-dimensional sorcerer and recurring antagonist in Marvel Comics, often associated with the Dark Dimension and the character Clea.
  • D. Umar ibn Abi Salama
    Umar ibn Abi Salama was a young Companion of the Prophet Muhammad and the stepson of the Prophet through his mother, Umm Salama.
  • E. Abu Umar
    Abu Umar is the honorific kunya of the renowned Andalusian Maliki scholar and hadith expert Ibn Abd al-Barr.
  • 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_69d6aac59460819089b9848b27f57848 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8eb84c48190b4f3bede254afde2 completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f3d86fc88190a6d7874e7fe1eeaa completed April 19, 2026, 3:25 p.m.
Created at: April 8, 2026, 9:30 p.m.