Triple

T19141747
Position Surface form Disambiguated ID Type / Status
Subject Nadab E468575 entity
Predicate name P16 FINISHED
Object Nadab NE NERFINISHED

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: Nadab | Statement: [Nadab, name, Nadab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nadab
Context triple: [Nadab, name, Nadab]
  • A. Nadab
    Nadab was a king of the northern Kingdom of Israel in the Hebrew Bible, known as the son and short-reigning royal heir of Jeroboam I.
  • B. Nadab chosen
    Nadab is a biblical figure, the eldest son of Aaron who served as a priest during the Israelites’ wilderness period.
  • C. Abihu
    Abihu is a biblical figure, one of the sons of Aaron who served as a priest and was killed for offering unauthorized fire before God.
  • D. Aminadav
    Aminadav is a small moshav (agricultural village) in the Jerusalem Hills of Israel, known for its scenic forests and proximity to Jerusalem.
  • E. Phinehas
    Phinehas is a biblical figure known as one of the corrupt priestly sons of Eli who served at the sanctuary in Shiloh.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd0796a48190b34ce4cd9d3f3be5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e975e09c8190911e98e6e558615d completed April 20, 2026, 8:53 a.m.
Created at: April 10, 2026, 12:05 p.m.