Triple

T14280528
Position Surface form Disambiguated ID Type / Status
Subject Spartans E354032 entity
Predicate culture P1114 FINISHED
Object Dorian E388503 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: Dorian | Statement: [Spartans, culture, Dorian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorian
Context triple: [Spartans, culture, Dorian]
  • A. Dorian
    Dorian is a highly advanced, emotionally aware android police officer from the science fiction TV series "Almost Human."
  • B. Dorian chosen
    Dorian is an ancient Greek ethnic and cultural identity traditionally associated with the Dorian Greeks, one of the major Hellenic tribes.
  • C. Dorian
    Dorian is the name of a powerful and destructive Atlantic hurricane whose severity led to its permanent retirement from the rotating list of storm names.
  • D. Dorian Tyrell
    Dorian Tyrell is the main villain in the 1994 film "The Mask," a ruthless mobster who becomes even more dangerous after using the magical mask’s powers.
  • E. Dorian Sagan
    Dorian Sagan is an American science writer and essayist known for his works on evolution, complexity, and the philosophy of science, often co-authored with his mother, biologist Lynn Margulis.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697b5e8081908e5b91a3a1c55df9 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd32719ecc8190b57aad5197521359 completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:10 a.m.