Triple

T2481109
Position Surface form Disambiguated ID Type / Status
Subject Surah At-Tahrim E55816 entity
Predicate mentions P831 FINISHED
Object Noah E81632 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: Noah | Statement: [Surah At-Tahrim, mentions, Noah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noah
Context triple: [Surah At-Tahrim, mentions, Noah]
  • A. Noah
    Noah is a 2014 biblical epic film directed by Darren Aronofsky, in which Russell Crowe stars as the titular patriarch tasked with building an ark to survive a divinely sent flood.
  • B. Noah chosen
    Noah is a central prophet in the Abrahamic traditions, best known for building an ark to survive a divinely sent flood meant to cleanse the world.
  • C. Abel
    Abel is a biblical figure, the second son of Adam and Eve, known for being a righteous shepherd whose murder by his brother Cain marks the first homicide in the Bible.
  • D. Isaac
    Isaac is a masculine given name of Hebrew origin, traditionally interpreted to mean "he will laugh" or "laughter."
  • E. Isaac
    Isaac is an artificial lifeform and science officer from the Kaylon race in the science fiction television series "The Orville."
  • 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_69ab49e670a88190b928e08302381710 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd161bf3c8190834502968180e9cf completed March 7, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69af17b146d881909672e9cd4a501a11 completed March 9, 2026, 6:55 p.m.
Created at: March 6, 2026, 9:45 p.m.