Triple

T6413910
Position Surface form Disambiguated ID Type / Status
Subject Adonijah E127774 entity
Predicate opposedBy P437 FINISHED
Object Nathan E118389 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: Nathan | Statement: [Adonijah, opposedBy, Nathan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nathan
Context triple: [Adonijah, opposedBy, Nathan]
  • A. Nathan chosen
    Nathan is a prophet in the Hebrew Bible known for advising King David and courageously confronting him over his sin with Bathsheba.
  • B. Nathan
    Nathan is the central character of Gotthold Ephraim Lessing’s play "Nathan the Wise," portrayed as a wise and compassionate Jewish merchant who advocates religious tolerance and humanism.
  • C. Nathan
    Nathan is the given first name of the American writer and poet Jean Toomer, known for his modernist work "Cane."
  • D. Nathan
    Nathan is a common given name used in various cultures, often derived from Hebrew meaning "he gave" or "gift."
  • E. Nate
    Nate is a common diminutive form of the given name Nathaniel, often used as a casual or familiar nickname.
  • 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068e5187c8190a6be1b934e0f1b3a completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640c7946081908bb410fcf905535c completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:42 p.m.