Triple

T9995092
Position Surface form Disambiguated ID Type / Status
Subject Jane Foster E197181 entity
Predicate hasAlias P455 FINISHED
Object Dr. Jane Foster E197181 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: Dr. Jane Foster | Statement: [Jane Foster, hasAlias, Dr. Jane Foster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dr. Jane Foster
Context triple: [Jane Foster, hasAlias, Dr. Jane Foster]
  • A. Jane Foster chosen
    Jane Foster is a brilliant astrophysicist and Thor’s primary human love interest in Marvel’s Thor films.
  • B. 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.
  • C. Jennifer Walters
    Jennifer Walters is a Marvel Comics lawyer who becomes the superhero She-Hulk after receiving a blood transfusion from her cousin Bruce Banner.
  • D. Scarlet Witch
    Scarlet Witch is a powerful Marvel Comics superhero and Avenger, known for her reality-warping chaos magic and complex moral journey.
  • E. Valeria Richards
    Valeria Richards is a highly intelligent Marvel Comics character, the daughter of Reed Richards and Sue Storm, often depicted as a child prodigy whose genius rivals that of her father.
  • 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_69d26a2bc4f081909595afcc2c862eda completed April 5, 2026, 1:56 p.m.
Created at: March 30, 2026, 8:50 p.m.