Triple

T14612571
Position Surface form Disambiguated ID Type / Status
Subject Sea Eye E342996 entity
Predicate hasEnglishName P3437 FINISHED
Object Sea Eye E342996 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: Sea Eye | Statement: [Sea Eye, hasEnglishName, Sea Eye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sea Eye
Context triple: [Sea Eye, hasEnglishName, Sea Eye]
  • A. Sea Eye chosen
    Sea Eye is the English translation of "Morskie Oko," the name of a famous glacial lake in the Tatra Mountains of Poland.
  • B. The Eye
    The Eye is a horror film best known for its supernatural storyline involving a woman who begins seeing disturbing visions after an eye transplant.
  • C. Dragonseye
    Dragonseye is a science fantasy novel in Anne McCaffrey’s Dragonriders of Pern series that explores the early days of dragonrider society as it prepares for the deadly return of Thread.
  • D. Night Sea
    "Night Sea" is a minimalist abstract painting by Agnes Martin, exemplifying her serene grid-based style and meditative exploration of subtle color and line.
  • E. Ojos de Mar
    Ojos de Mar are striking turquoise saltwater pools in Argentina’s high-altitude Puna desert, known for their extreme salinity, vivid color, and rare microbial life.
  • 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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb450e6588190a94488d8e71888c8 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda92110e88190af47b713dd24520b completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.