Triple

T5937010
Position Surface form Disambiguated ID Type / Status
Subject Reasonable Doubt E132067 entity
Predicate producer P490 FINISHED
Object Ski E494121 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: Ski | Statement: [Reasonable Doubt, producer, Ski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ski
Context triple: [Reasonable Doubt, producer, Ski]
  • A. Ski
    Ski is a town in Viken county, Norway, serving as a regional commercial and transport hub southeast of Oslo.
  • B. Ski chosen
    Ski is an American hip-hop record producer best known for his work with artists like Jay-Z and Camp Lo during the 1990s.
  • C. Nordic skiing
    Nordic skiing is a category of winter sports that involves traveling over snow on skis using the skier’s own locomotion, including disciplines like cross-country skiing and ski jumping.
  • D. Ski Apache
    Ski Apache is a popular ski and snowboard resort in southern New Mexico known for its high-elevation slopes, scenic Sierra Blanca views, and winter recreation opportunities.
  • E. Ski Bowl
    Ski Bowl is a popular ski and snowboard resort located on the slopes of Mount Hood in Oregon, known for its extensive night skiing and varied terrain.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038eca9688190adeed21df058daf1 completed March 22, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c06f979881908d7e98ee674f1ff2 completed March 23, 2026, 4:24 a.m.
Created at: March 22, 2026, 4:01 p.m.