Triple

T9861749
Position Surface form Disambiguated ID Type / Status
Subject August Zaleski E239729 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 Zaleski, givenName, August]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: August
Context triple: [August Zaleski, 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. Juni
    Juni is a bilingual producer known for creating content across multiple languages.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3b6aa108190978f1c0cdc0f45a0 completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1e4411a9481909657f522af7500ac completed April 5, 2026, 4:25 a.m.
Created at: March 30, 2026, 8:35 p.m.