Triple

T12849402
Position Surface form Disambiguated ID Type / Status
Subject Quran 69:1–52 E307271 entity
Predicate mentions P831 FINISHED
Object Noah’s people E154858 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’s people | Statement: [Quran 69:1–52, mentions, Noah’s people]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noah’s people
Context triple: [Quran 69:1–52, mentions, Noah’s people]
  • A. Noah
    Noah is the central protagonist of the web series "Dark," whose complex journey through time and moral ambiguity drives much of the show's mystery and tension.
  • B. 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.
  • C. Noah
    Noah is a masculine given name of Hebrew origin meaning "rest" or "comfort," widely used in many cultures and popular in contemporary English-speaking countries.
  • D. Noah
    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.
  • E. people of Noah chosen
    The people of Noah were an ancient community described in the Quran as rejecting the prophet Noah’s call to monotheism and consequently being destroyed by a great flood.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9701fe684819084582d1b4c809429 completed April 10, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69ba5059c81908be3b8b371518f41 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:36 p.m.