Triple

T10580691
Position Surface form Disambiguated ID Type / Status
Subject Berry Oakley E249726 entity
Predicate familyName P18 FINISHED
Object Oakley E861872 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: Oakley | Statement: [Berry Oakley, familyName, Oakley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oakley
Context triple: [Berry Oakley, familyName, Oakley]
  • A. Oakley
    Oakley is a city in Contra Costa County, California, located in the eastern San Francisco Bay Area.
  • B. Oakley chosen
    Oakley is a surname most notably associated with Violet Oakley, an American artist and pioneering female muralist of the early 20th century.
  • C. Koss
    Koss is a Norwegian surname most notably associated with Johann Olav Koss, the Olympic gold medal–winning speed skater and humanitarian.
  • D. K2 Sports
    K2 Sports is an American sporting goods company best known for its skis, snowboards, and other winter sports equipment.
  • E. Rocawear
    Rocawear is a hip-hop-inspired urban clothing brand known for its streetwear fashion and cultural influence, originally launched as part of Jay-Z’s Roc-A-Fella business empire.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d52759faa4819081c195488803ada9 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b78ff28819085acf84418d54733 completed April 10, 2026, 7:11 p.m.
Created at: April 6, 2026, 12:38 p.m.