Triple

T14655401
Position Surface form Disambiguated ID Type / Status
Subject Red Guardian E344094 entity
Predicate mcuTeammate P61732 FINISHED
Object Melina Vostokoff E257920 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: Melina Vostokoff | Statement: [Red Guardian, mcuTeammate, Melina Vostokoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Melina Vostokoff
Context triple: [Red Guardian, mcuTeammate, Melina Vostokoff]
  • A. Melina Vostokoff chosen
    Melina Vostokoff is a seasoned Russian spy and scientist in the Marvel Cinematic Universe who serves as a mother-figure to Natasha Romanoff and Yelena Belova in the film "Black Widow."
  • B. Johnette Howard
    Johnette Howard is an American sports journalist and author known for her insightful writing on athletes and sports culture.
  • C. Bonnie Anderson
    Bonnie Anderson is the imaginative young girl who becomes the new owner of Woody and the other toys in Pixar's Toy Story 3 and its sequels.
  • D. Teri Weinberg
    Teri Weinberg is a television producer best known for her work on hit series such as "Ugly Betty" and for her executive roles at major production companies.
  • E. Lori Beth Denberg
    Lori Beth Denberg is an American actress and comedian best known for her sketch performances on the Nickelodeon series "All That" in the 1990s.
  • 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_69d822e1a2cc81908e5bb93cf61ce3cc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb51a562c819098971447db4b29f7 completed April 14, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5de0b98819094c32765e4cb3f9c completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:27 a.m.