Triple

T9554958
Position Surface form Disambiguated ID Type / Status
Subject Battle of Strasbourg (357) E230517 entity
Predicate commander P1061 FINISHED
Object Julian E195460 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: Julian | Statement: [Battle of Strasbourg (357), commander, Julian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julian
Context triple: [Battle of Strasbourg (357), commander, Julian]
  • A. Julian
    Julian is a masculine given name of Latin origin, commonly used in many English-speaking and European countries.
  • B. Julian March
    Julian March is a historically contested border region in northeastern Italy and parts of present-day Slovenia and Croatia, known for its mixed ethnic population and disputes between Italy and Yugoslavia in the 20th century.
  • C. Julian the Apostate chosen
    Julian the Apostate was a 4th-century Roman emperor known for his attempt to restore paganism and roll back the spread of Christianity in the Roman Empire.
  • D. Flavius
    Flavius is a common Roman praenomen and family name frequently borne by late Roman emperors and officials, including Romulus Augustulus.
  • E. Julius
    Julius is the birth name of American actor John Garfield, a prominent film star of the 1930s and 1940s known for his intense, naturalistic performances.
  • 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_69ca847d3be8819099c9dad2a7e786f1 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd992412148190b092bd9918764d5f completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1613faca48190a4117fb151eb3ec4 completed April 4, 2026, 7:06 p.m.
Created at: March 30, 2026, 8:03 p.m.