Triple

T16465922
Position Surface form Disambiguated ID Type / Status
Subject The Five Doctors E399931 entity
Predicate featuresCharacter P626 FINISHED
Object Borusa E353923 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: Borusa | Statement: [The Five Doctors, featuresCharacter, Borusa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Borusa
Context triple: [The Five Doctors, featuresCharacter, Borusa]
  • A. Borusa chosen
    Borusa is a powerful and politically influential Time Lord from Gallifrey in the Doctor Who universe, known for his complex relationship with the Doctor and his eventual downfall.
  • B. Tauna
    Tauna is a small, remote island within the Gambier Islands of French Polynesia, known for its unspoiled natural environment and surrounding coral reefs.
  • C. Raikoke
    Raikoke is an uninhabited volcanic island in the central Kuril Islands chain, known for its dramatic stratovolcano and powerful explosive eruptions.
  • D. Mutnovsky
    Mutnovsky is an active stratovolcano on Russia’s Kamchatka Peninsula, known for its frequent eruptions, geothermal activity, and dramatic volcanic landscapes.
  • E. Mount Furano
    Mount Furano is a volcanic peak in Japan’s Daisetsuzan mountain range on Hokkaido, known for its alpine scenery and hiking routes.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32dcc52f88190958b408e49cfb512 completed April 18, 2026, 7:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004f575ed48190a24d6af74565189d completed May 10, 2026, 9:26 a.m.
Created at: April 10, 2026, 5:11 a.m.