Triple

T16611801
Position Surface form Disambiguated ID Type / Status
Subject Robin Williams as Mork E403589 entity
Predicate species P87 FINISHED
Object Orkan E869498 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: Orkan | Statement: [Robin Williams as Mork, species, Orkan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orkan
Context triple: [Robin Williams as Mork, species, Orkan]
  • A. Orkan chosen
    Orkan is the alien species from the planet Ork featured in the TV sitcom "Mork & Mindy," most famously represented by the character Mork played by Robin Williams.
  • B. Ciclón
    Ciclón is the popular nickname of Paraguayan football club Cerro Porteño, evoking its powerful and overwhelming style of play.
  • C. Karadeniz Fırtınası
    Karadeniz Fırtınası is the popular Turkish nickname for Trabzonspor, highlighting the football club’s dynamic, storm-like playing style and strong identity from Turkey’s Black Sea region.
  • D. Tifone
    Tifone is an Italian World War II-era aircraft engine derived from the German Daimler-Benz DB 605 and used primarily in Fiat fighter planes.
  • E. Perisha
    Perisha is a given name, likely a feminine personal name used in various cultures.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e36096356c819092815d64db041793 completed April 18, 2026, 10:44 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b40c288190afda6c7643b61e85 completed May 10, 2026, 1:14 p.m.
Created at: April 10, 2026, 5:17 a.m.