Triple

T6217284
Position Surface form Disambiguated ID Type / Status
Subject Alyson Hannigan E139020 entity
Predicate name P16 FINISHED
Object Alyson Hannigan E139020 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: Alyson Hannigan | Statement: [Alyson Hannigan, name, Alyson Hannigan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alyson Hannigan
Context triple: [Alyson Hannigan, name, Alyson Hannigan]
  • A. Alyson Hannigan chosen
    Alyson Hannigan is an American actress best known for her roles in the television series "Buffy the Vampire Slayer" and "How I Met Your Mother," as well as the "American Pie" film series.
  • B. Amy Acker
    Amy Acker is an American actress best known for her roles in television series such as "Angel," "Person of Interest," and "Dollhouse."
  • C. Tiffani Thiessen
    Tiffani Thiessen is an American actress best known for her roles on the television series "Saved by the Bell" and "Beverly Hills, 90210."
  • D. Kristen Bell
    Kristen Bell is an American actress and singer best known for her roles in the TV series "Veronica Mars" and "The Good Place," as well as her voice work in Disney animated films.
  • E. Christina Applegate
    Christina Applegate is an American actress and comedian known for her roles in the sitcom "Married... with Children" and numerous film and television comedies.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a35e308190be25c41b02704411 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20db4e0ac8190ba7bca1f9d8ac6df completed March 24, 2026, 4:06 a.m.
Created at: March 22, 2026, 4:21 p.m.