Triple

T3095866
Position Surface form Disambiguated ID Type / Status
Subject Hall of Faith E64593 entity
Predicate includesFigure P1393 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: [Hall of Faith, includesFigure, Noah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noah
Context triple: [Hall of Faith, includesFigure, 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. Noah Emmerich
    Noah Emmerich is an American actor known for his character roles in film and television, particularly his acclaimed performance as FBI agent Stan Beeman in the series "The Americans."
  • E. Isaac
    Isaac is a masculine given name of Hebrew origin, traditionally interpreted to mean "he will laugh" or "laughter."
  • 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_69ad857dc98481909e585dc3372e3ed5 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada23b04188190919a69987d2c180f completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2037483fc8190b8343faa58fb9893 completed March 12, 2026, 12:06 a.m.
Created at: March 8, 2026, 3:03 p.m.