Triple

T15698524
Position Surface form Disambiguated ID Type / Status
Subject Frances (1982 film) E380530 entity
Predicate portrays P264 FINISHED
Object Seattle, Washington E1640 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: Seattle, Washington | Statement: [Frances (1982 film), portrays, Seattle, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seattle, Washington
Context triple: [Frances (1982 film), portrays, Seattle, Washington]
  • A. Seattle
    Seattle is a major coastal city in the U.S. state of Washington, known for its tech industry, vibrant music and arts scene, and iconic landmarks like the Space Needle.
  • B. Bellevue, Washington
    Bellevue, Washington is a rapidly growing city in the Seattle metropolitan area known for its thriving tech industry, upscale downtown, and high quality of life.
  • C. Seattle, Washington, United States chosen
    Seattle, Washington, United States is a major Pacific Northwest city known for its tech industry, vibrant cultural scene, and iconic landmarks like the Space Needle.
  • D. Tukwila
    Tukwila is a suburban city just south of Seattle, Washington, known as a regional transportation and retail hub.
  • E. Royal City, Washington
    Royal City, Washington is a small agricultural town in central Washington State known for its orchards and farming-based economy.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f6c3328819081325b702ca92862 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0025e9b00c81908cb5f305c894363f completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 4:44 a.m.