Triple

T1343082
Position Surface form Disambiguated ID Type / Status
Subject Surah Al-An'am E28508 entity
Predicate mentions P831 FINISHED
Object Isaac E16403 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: Isaac | Statement: [Surah Al-An'am, mentions, Isaac]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Isaac
Context triple: [Surah Al-An'am, mentions, Isaac]
  • A. Isaac chosen
    Isaac is a masculine given name of Hebrew origin, traditionally interpreted to mean "he will laugh" or "laughter."
  • B. Isaac
    Isaac is an artificial lifeform and science officer from the Kaylon race in the science fiction television series "The Orville."
  • C. Jacob
    Jacob is a central patriarch in the Hebrew Bible, regarded in Judaism as the father of the twelve tribes of Israel.
  • D. Jacob
    Jacob is the birth name of American actor John Garfield, a prominent film star of the 1930s and 1940s known for his intense, naturalistic performances.
  • E. Benjamin
    Benjamin is the given name of Benjamin "Bugsy" Siegel, the notorious American mobster who played a key role in the development of Las Vegas.
  • 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_69a49854eb3481908c7d56b2e449a290 completed March 1, 2026, 7:49 p.m.
NER Named-entity recognition batch_69a4c2174d048190a6e9380df302265f completed March 1, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad519e02148190866944223fbe1251 completed March 8, 2026, 10:38 a.m.
Created at: March 1, 2026, 7:56 p.m.