Triple

T3664161
Position Surface form Disambiguated ID Type / Status
Subject Army of Ghosts E77720 entity
Predicate featuresCompanion P48101 FINISHED
Object Rose Tyler E309898 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: Rose Tyler | Statement: [Army of Ghosts, featuresCompanion, Rose Tyler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rose Tyler
Context triple: [Army of Ghosts, featuresCompanion, Rose Tyler]
  • A. Rose Tyler chosen
    Rose Tyler is a companion of the Doctor in the British science fiction television series Doctor Who, known for her pivotal role in the revived era of the show.
  • B. Martha Jones
    Martha Jones is a companion of the Tenth Doctor in the British science fiction television series Doctor Who.
  • C. Captain Jack Harkness
    Captain Jack Harkness is a charismatic, time-traveling former Time Agent and immortal leader of the Torchwood Institute in the Doctor Who universe.
  • D. Bill Potts
    Bill Potts is a companion of the Twelfth Doctor in the television series Doctor Who, known for her curiosity, wit, and emotional depth.
  • E. Kate Stewart
    Kate Stewart is a fictional UNIT scientific advisor and the daughter of Brigadier Lethbridge-Stewart in the long-running British science fiction series Doctor Who.
  • 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_69ad85dfc4dc8190a441864202ab2a7a completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc3fe5eb08190ab15044acf9ac8a9 completed March 8, 2026, 6:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c39bb9b48190ba34226ccfccd59e completed March 14, 2026, 2:10 a.m.
Created at: March 8, 2026, 3:25 p.m.