Triple

T3389292
Position Surface form Disambiguated ID Type / Status
Subject Omega E71378 entity
Predicate coFounderWith P2835 FINISHED
Object Rassilon E84830 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: Rassilon | Statement: [Omega, coFounderWith, Rassilon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rassilon
Context triple: [Omega, coFounderWith, Rassilon]
  • A. Rassilon chosen
    Rassilon is a legendary Time Lord from the Doctor Who universe, renowned as one of the founders and first leaders of Time Lord society.
  • B. Hugo Drax
    Hugo Drax is the wealthy, megalomaniacal villain in the James Bond franchise who masterminds a genocidal space-based plot in the novel and film "Moonraker."
  • C. Lord Dyson
    Lord Dyson is a prominent British judge and legal scholar who served as Master of the Rolls and Justice of the Supreme Court of the United Kingdom.
  • D. Daniel Quasar
    Daniel Quasar is a graphic designer best known for creating the Progress Pride Flag, an updated version of the rainbow flag that emphasizes inclusion and intersectionality within the LGBTQ+ community.
  • E. The Doctor
    The Doctor is a 1991 American drama film starring William Hurt as a successful but emotionally distant surgeon who reevaluates his life and relationships after becoming a patient himself.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb666e514819090560d43bfaf55b8 completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b432f118f48190a81795289a20efe5 completed March 13, 2026, 3:53 p.m.
Created at: March 8, 2026, 3:14 p.m.