Triple

T14942488
Position Surface form Disambiguated ID Type / Status
Subject Safe Haven E372564 entity
Predicate starring P1507 FINISHED
Object Cobie Smulders E213245 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: Cobie Smulders | Statement: [Safe Haven, starring, Cobie Smulders]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cobie Smulders
Context triple: [Safe Haven, starring, Cobie Smulders]
  • A. Cobie Smulders chosen
    Cobie Smulders is a Canadian actress best known for her role as Robin Scherbatsky on the sitcom "How I Met Your Mother" and for portraying Maria Hill in the Marvel Cinematic Universe.
  • B. Katherine Noel Brosnahan
    Katherine Noel Brosnahan, better known as Kate Spade, was an American fashion designer and businesswoman who co-founded the iconic accessories and lifestyle brand Kate Spade New York.
  • C. Erika Christensen
    Erika Christensen is an American actress known for her roles in films like "Traffic" and "Flightplan" and the television series "Parenthood."
  • D. Kristin Davis
    Kristin Davis is an American actress best known for her role as Charlotte York on the television series "Sex and the City" and its related films.
  • E. Judy Greer
    Judy Greer is an American actress known for her versatile supporting roles in film and television, including appearances in major franchises like the Marvel Cinematic Universe.
  • 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_69d85cc9da0c81908d583ca3f63a3908 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68c1df0819084c0cd61b207d398 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e929f3881908560b8428e72327d completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:38 a.m.