Triple

T9565044
Position Surface form Disambiguated ID Type / Status
Subject How I Met Your Mother E230769 entity
Predicate mainCharacter P1183 FINISHED
Object Robin Scherbatsky E515270 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: Robin Scherbatsky | Statement: [How I Met Your Mother, mainCharacter, Robin Scherbatsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robin Scherbatsky
Context triple: [How I Met Your Mother, mainCharacter, Robin Scherbatsky]
  • A. Robin Scherbatsky chosen
    Robin Scherbatsky is a fictional Canadian journalist and former teen pop star, best known as one of the main characters on the television sitcom "How I Met Your Mother."
  • B. Liza Voloshin
    Liza Voloshin is a music video director known for her creative visual work, including directing the video for the song "Daisies."
  • C. Irina Derevko
    Irina Derevko is a central antagonist and complex spy figure in the television series "Alias," known for her ambiguous loyalties and connection to protagonist Sydney Bristow.
  • D. Elena Kurakina
    Elena Kurakina was a Russian noblewoman of the influential Kurakin family, connected by birth to the prominent Dolgorukov princely line.
  • E. Natalya Abramova
    Natalya Abramova was a Soviet actress best known for her role in Andrei Tarkovsky’s acclaimed 1979 science fiction film "Stalker."
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd996a01b081908e2782f41520f73d completed April 1, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69d152abb0788190ab2e204d9a082ccf completed April 4, 2026, 6:04 p.m.
Created at: March 30, 2026, 8:04 p.m.