Triple

T3464248
Position Surface form Disambiguated ID Type / Status
Subject Harold Saxon E73097 entity
Predicate enemyOf P437 FINISHED
Object Martha Jones E354186 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: Martha Jones | Statement: [Harold Saxon, enemyOf, Martha Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martha Jones
Context triple: [Harold Saxon, enemyOf, Martha Jones]
  • A. Martha Jones chosen
    Martha Jones is a companion of the Tenth Doctor in the British science fiction television series Doctor Who.
  • B. Rose Tyler
    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.
  • C. 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.
  • 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. The Doctor
    The Doctor is a minor but symbolically significant character in Tennessee Williams' play "A Streetcar Named Desire," representing the harsh reality of institutionalization and the collapse of Blanche DuBois's fragile world.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb0dc100819084bb0c355c7bb15b completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3612720308190b5a0d943a754883f completed March 13, 2026, 12:58 a.m.
Created at: March 8, 2026, 3:17 p.m.