Triple

T22890270
Position Surface form Disambiguated ID Type / Status
Subject Knott E568019 entity
Predicate listedIn P1278 FINISHED
Object Sim NE NERFINISHED

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: Sim | Statement: [Knott, listedIn, Sim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sim
Context triple: [Knott, listedIn, Sim]
  • A. Sim chosen
    Sim is a given name and surname, often used as a short form of names like Simon or Simeon.
  • B. Sil
    Sil is the lethal human-alien hybrid antagonist from the sci-fi horror film "Species," known for her seductive appearance and deadly extraterrestrial instincts.
  • C. Syn
    Syn is a goddess in Norse mythology associated with refusal, defense, and the protection of doors and legal matters among the Aesir.
  • D. Sus
    Sus is a genus of mammals in the pig family that includes domestic pigs and several species of wild boar.
  • E. Im
    Im is a common Korean family name, often romanized as Lim or Yim, with several distinct clan lineages in Korea.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f17fc479d48190a8218eceaebd6cc8 completed April 29, 2026, 3:49 a.m.
Created at: April 17, 2026, 3:40 p.m.