Triple

T3695157
Position Surface form Disambiguated ID Type / Status
Subject Mary Lou Jepsen E78439 entity
Predicate hasEmployer P7 FINISHED
Object Openwater E62019 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: Openwater | Statement: [Mary Lou Jepsen, hasEmployer, Openwater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Openwater
Context triple: [Mary Lou Jepsen, hasEmployer, Openwater]
  • A. Openwater chosen
    Openwater is a medical imaging and neurotechnology company developing high-resolution, low-cost brain and body imaging devices using novel optics and holography techniques.
  • B. Lightwater
    Lightwater is a village and civil parish in the English county of Surrey, known for its residential character and proximity to heathland and countryside.
  • C. Achterwasser
    Achterwasser is a coastal lagoon on the German island of Usedom, connected to the Baltic Sea and known for its shallow waters and scenic natural surroundings.
  • D. Spirit on the Water
    "Spirit on the Water" is a reflective, blues-inflected song by Bob Dylan from his 2006 album *Modern Times*, noted for its laid-back groove and lyrical blend of romance, humor, and spiritual allusion.
  • E. Bluewater
    Bluewater is a large out-of-town shopping and leisure centre located in Kent, England.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4eafd348190986f69aee787fd8f completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db01e118819090438d80898cf73b completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:26 p.m.