Triple

T8026133
Position Surface form Disambiguated ID Type / Status
Subject August Borsig E186858 entity
Predicate givenName P17 FINISHED
Object August E154588 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: August | Statement: [August Borsig, givenName, August]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: August
Context triple: [August Borsig, givenName, August]
  • A. August chosen
    August is a masculine given name of Latin origin, commonly used in Germanic and other European languages and associated with figures such as the classical philologist Friedrich August Wolf.
  • B. July
    July is the seventh month of the year, typically associated with mid-summer in the Northern Hemisphere and named after Julius Caesar.
  • C. June
    June is an early-summer month in the Northern Hemisphere often associated with favorable weather for outdoor activities and mountaineering.
  • D. September
    September is the ninth month of the year in the Gregorian calendar, marking the transition from summer to autumn in the Northern Hemisphere and from winter to spring in the Southern Hemisphere.
  • E. October
    October is the tenth month of the year in both the Julian and Gregorian calendars, typically associated with mid-autumn in the Northern Hemisphere.
  • 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_69ca82ad4e2c8190a693e3c9e30fe66f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ecb00648190bb3144acf3492bb3 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56da597c8190931091482d60b0a6 completed March 31, 2026, 11:20 p.m.
Created at: March 30, 2026, 5:21 p.m.