Triple

T15867823
Position Surface form Disambiguated ID Type / Status
Subject Genesis Apocryphon E384756 entity
Predicate focusesOn P31 FINISHED
Object Lamech E402263 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: Lamech | Statement: [Genesis Apocryphon, focusesOn, Lamech]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lamech
Context triple: [Genesis Apocryphon, focusesOn, Lamech]
  • A. Lamech chosen
    Lamech is a biblical patriarch mentioned in the Book of Genesis as part of the antediluvian genealogy leading to Noah.
  • B. Tubal-cain
    Tubal-cain is the main human antagonist in the 2014 biblical epic film "Noah," portrayed as a ruthless king who opposes Noah and embodies violent, corrupt humanity.
  • C. Caín
    Caín is a small mountain village in the Picos de Europa in northern Spain, known as a popular gateway for hikers and climbers exploring the surrounding peaks and gorges.
  • D. Enosh
    Enosh is a biblical figure recognized as a grandson of Adam and an early patriarch in the Book of Genesis.
  • E. Peleg
    Peleg is a relatively uncommon given name and surname of Hebrew origin, appearing in biblical texts and used by various individuals in religious and historical contexts.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1556118a08190a13dc2db3d796b11 completed April 16, 2026, 9:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa947ba3881909c602f2fc60dd6e8 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.