Triple

T1277702
Position Surface form Disambiguated ID Type / Status
Subject Dawn E27251 entity
Predicate hasCharacter P2308 FINISHED
Object Gad E64669 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: Gad | Statement: [Dawn, hasCharacter, Gad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gad
Context triple: [Dawn, hasCharacter, Gad]
  • A. Gad chosen
    Gad is a biblical figure, one of the twelve sons of Jacob and the founder of the Israelite tribe that bears his name.
  • B. Avgad
    Avgad is a variant form or textual tradition associated with the Jewish mystical work Temurah.
  • C. Guna
    Guna is a city in the central Indian state of Madhya Pradesh known as an important regional administrative and commercial center.
  • D. Gassel
    Gassel is a village in the Dutch province of North Brabant, known historically as a separate municipality before being incorporated into a larger administrative unit.
  • E. Tad
    Tad is the affectionate nickname of Thomas "Tad" Lincoln, the youngest son of U.S. President Abraham Lincoln.
  • 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_69a496d3710c8190955dee8bc0dacb50 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c0907f6081908df15679227341b5 completed March 1, 2026, 10:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69aca2f91b348190b2994af7edaf4f67 completed March 7, 2026, 10:13 p.m.
Created at: March 1, 2026, 7:50 p.m.