Triple

T19868214
Position Surface form Disambiguated ID Type / Status
Subject Legally Blonde E477445 entity
Predicate starring P1507 FINISHED
Object Selma Blair NE NERFINISHED

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: Selma Blair | Statement: [Legally Blonde, starring, Selma Blair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selma Blair
Context triple: [Legally Blonde, starring, Selma Blair]
  • A. Selma Blair chosen
    Selma Blair is an American actress known for her roles in films such as "Cruel Intentions," "Legally Blonde," and the "Hellboy" series, as well as for her public advocacy following her multiple sclerosis diagnosis.
  • B. Lynn Collins
    Lynn Collins is an American actress known for her roles in films such as X-Men Origins: Wolverine and John Carter, as well as various television series.
  • C. Tamara Goff
    Tamara Goff is known primarily as the spouse of Australian-born screenwriter Ivan Goff, co-creator of the television series "Charlie's Angels."
  • D. AnnaLynne McCord
    AnnaLynne McCord is an American actress and activist best known for her roles in television series like "90210" and "Nip/Tuck" and in various horror and thriller films.
  • E. Rebecca Tilly
    Rebecca Tilly is a member of the Tilly family and the sister of actress and author Meg Tilly.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658a168288190a2fbb735d1fd30a8 completed April 20, 2026, 4:47 p.m.
Created at: April 10, 2026, 1:51 p.m.