Triple

T4347335
Position Surface form Disambiguated ID Type / Status
Subject Wanda Hendrix E97935 entity
Predicate notableWork P4 FINISHED
Object Sierra E269471 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: Sierra | Statement: [Wanda Hendrix, notableWork, Sierra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sierra
Context triple: [Wanda Hendrix, notableWork, Sierra]
  • A. Sierra
    Sierra is the Andean highland natural region of Peru, characterized by mountainous terrain, high plateaus, and a cool climate.
  • B. Sierra chosen
    Sierra is a renowned video game company best known for its pioneering graphic adventure games and influential role in the early PC gaming industry.
  • C. Sierra Nevada
    Sierra Nevada is a prominent mountain range in southern Spain known for its high peaks, ski resorts, and inclusion in a national park.
  • D. Sierra Nevada
    Sierra Nevada is a major mountain range in the western United States known for its dramatic granite peaks, extensive forests, and iconic natural landmarks such as Yosemite National Park and Lake Tahoe.
  • E. Sierra Madre
    Sierra Madre is a small residential city in Los Angeles County, California, nestled at the foothills of the San Gabriel Mountains and known for its quaint downtown and historic Wistaria vine.
  • 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_69b34548402c819085ab68b27c235a87 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b351a5559c819081608b0aaf6a0e66 completed March 12, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6373b66a481909f66ea8b8659d54a completed March 15, 2026, 4:36 a.m.
Created at: March 12, 2026, 11:15 p.m.