Triple

T9995023
Position Surface form Disambiguated ID Type / Status
Subject Jaimie Alexander E197180 entity
Predicate characterPortrayed P1507 FINISHED
Object Lady Sif E75118 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: Lady Sif | Statement: [Jaimie Alexander, characterPortrayed, Lady Sif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lady Sif
Context triple: [Jaimie Alexander, characterPortrayed, Lady Sif]
  • A. Sif chosen
    Sif is a goddess in Norse mythology best known as the golden-haired wife of Thor and a deity associated with earth, fertility, and grain.
  • B. Jane Foster
    Jane Foster is a brilliant astrophysicist and Thor’s primary human love interest in Marvel’s Thor films.
  • C. Valkyrior
    The Valkyrior are an elite all-female Asgardian warrior force in the Marvel Cinematic Universe, renowned for riding winged horses into battle and serving as Odin’s legendary champions.
  • D. Monica Rambeau
    Monica Rambeau is a Marvel Comics superhero and S.W.O.R.D. agent who gains energy-based powers and becomes a key figure in the Marvel Cinematic Universe.
  • E. Ashildr
    Ashildr is a recurring Doctor Who character, originally a Viking girl made immortal by the Doctor, whose long life profoundly shapes her complex relationship with him.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb99ac74819091f20816478ea375 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d258336ab8819098d4878b8c106d86 completed April 5, 2026, 12:40 p.m.
Created at: March 30, 2026, 8:50 p.m.