Triple

T9571199
Position Surface form Disambiguated ID Type / Status
Subject David Sciama E230919 entity
Predicate familyName P18 FINISHED
Object Sciama E230919 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: Sciama | Statement: [David Sciama, familyName, Sciama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sciama
Context triple: [David Sciama, familyName, Sciama]
  • A. Sciama chosen
    Sciama is a surname most notably associated with British physicist Dennis Sciama, a key mentor to several leading cosmologists.
  • B. Teia
    Teia was the final king of the Ostrogoths in Italy, known for leading their last resistance against the Eastern Roman Empire in the mid-6th century.
  • C. Kurba Vela
    Kurba Vela is an uninhabited Adriatic Sea island that forms part of Croatia’s Kornati archipelago within Kornati National Park.
  • D. Nebula
    Nebula is a cybernetically enhanced alien assassin and former daughter of Thanos who becomes a key member of the Guardians of the Galaxy in the Marvel Cinematic Universe.
  • E. Nebula
    Nebula is an independent, creator-owned streaming platform focused on educational and documentary-style content from popular online video creators.
  • 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_69ca847f22188190a56e4a97625bef22 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd998ab5948190be78db4eed7825a0 completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1614f33108190901e3037654c50ab completed April 4, 2026, 7:06 p.m.
Created at: March 30, 2026, 8:04 p.m.