Triple

T4634689
Position Surface form Disambiguated ID Type / Status
Subject Ishaq E101499 entity
Predicate hasTransliteration P2508 FINISHED
Object Isḥāq E101499 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: Isḥāq | Statement: [Ishaq, hasTransliteration, Isḥāq]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isḥāq
Context triple: [Ishaq, hasTransliteration, Isḥāq]
  • A. Yaqub
    Yaqub is a prophet in Islamic tradition, known as the son of Ishaq (Isaac) and the father of the twelve sons who became the ancestors of the tribes of Israel.
  • B. Ishaq chosen
    Ishaq is the Arabic form of the biblical name Isaac, commonly used in Muslim and Arabic-speaking communities.
  • C. Isaac
    Isaac is a masculine given name of Hebrew origin, traditionally interpreted to mean "he will laugh" or "laughter."
  • D. Isaac
    Isaac is an artificial lifeform and science officer from the Kaylon race in the science fiction television series "The Orville."
  • E. Mahershalalhashbaz Ali
    Mahershalalhashbaz Ali, known professionally as Mahershala Ali, is an acclaimed American actor and two-time Academy Award winner recognized for his roles in films such as "Moonlight" and "Green Book."
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a5ec8108190aeb1147a67bff057 completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfac76734819083ef44d346f62b86 completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:13 p.m.