Triple

T1363320
Position Surface form Disambiguated ID Type / Status
Subject Magi E29144 entity
Predicate traditionalNames P17611 FINISHED
Object Balthazar E133722 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: Balthazar | Statement: [Magi, traditionalNames, Balthazar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Balthazar
Context triple: [Magi, traditionalNames, Balthazar]
  • A. Balthazar chosen
    Balthazar is a traditional variant of the name Belshazzar, historically associated with a Babylonian ruler mentioned in the Bible and later used in various cultural and literary contexts.
  • B. Raguel
    Raguel is an archangel in Jewish and Christian tradition, often associated with justice, fairness, and harmony among angels.
  • C. Kazimierz Sabbat
    Kazimierz Sabbat was a Polish politician who served as Prime Minister and later President of the Polish government-in-exile, symbolically upholding Poland’s pre-communist statehood during the Cold War.
  • D. Degory Priest
    Degory Priest was an English Pilgrim and early settler of Plymouth Colony who traveled on the Mayflower and participated in the founding governance of the colony.
  • E. Yorick Le Saux
    Yorick Le Saux is a French cinematographer known for his visually striking, atmospheric work on art-house and independent films.
  • 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_69a498d77abc8190913bf57e5f51d2c4 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c48e6534819090d23f3cc25093ae completed March 1, 2026, 10:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce7449548190917277dbc715cde4 completed March 8, 2026, 1:18 a.m.
Created at: March 1, 2026, 7:57 p.m.