Triple

T13606030
Position Surface form Disambiguated ID Type / Status
Subject Equity E325063 entity
Predicate castMember P1668 FINISHED
Object Anna Gunn E275836 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: Anna Gunn | Statement: [Equity, castMember, Anna Gunn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anna Gunn
Context triple: [Equity, castMember, Anna Gunn]
  • A. Anna Gunn chosen
    Anna Gunn is an American actress best known for her role as Skyler White on the critically acclaimed television series "Breaking Bad."
  • B. Jeri Ryan
    Jeri Ryan is an American actress best known for her role as the Borg drone Seven of Nine in the science fiction television franchise Star Trek.
  • C. Heather Lind
    Heather Lind is an American actress known for her work in film, television, and theater, including roles in projects like the indie comedy-drama "Mistress America."
  • D. Kate Harrington
    Kate Harrington is known as the former spouse of American film director John McTiernan, who is famous for action films such as "Die Hard" and "Predator."
  • E. Julia Carpenter
    Julia Carpenter is a Marvel Comics superheroine best known as the second Spider-Woman and later as the psychic web-wielding heroine Arachne and the new Madame Web.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07e442c819086a8cbb967c03ad3 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ae394748190b6a0f9a085b7dea6 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:50 p.m.