Triple

T15987367
Position Surface form Disambiguated ID Type / Status
Subject Laura Webber E387731 entity
Predicate portrayedBy P1507 FINISHED
Object Genie Francis E995373 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: Genie Francis | Statement: [Laura Webber, portrayedBy, Genie Francis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Genie Francis
Context triple: [Laura Webber, portrayedBy, Genie Francis]
  • A. Genie Francis chosen
    Genie Francis is an American actress best known for her iconic role as Laura Spencer on the long-running soap opera "General Hospital."
  • B. Jorja Fox
    Jorja Fox is an American actress best known for her long-running role as Sara Sidle on the television series CSI: Crime Scene Investigation.
  • C. Chynna Phillips
    Chynna Phillips is an American singer and actress best known as a member of the pop group Wilson Phillips.
  • D. Melissa Cobb
    Melissa Cobb is an American film producer best known for her work on major animated features, including the Kung Fu Panda franchise.
  • E. Karla Redding
    Karla Redding is the daughter of legendary soul singer Otis Redding and an active steward of his musical legacy through preservation and philanthropic work.
  • 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_69d86daa562c81908aacc179c0fe8fb5 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1575993948190a05d60fc9d0c05fa completed April 16, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a003546d3e081908f1244b7f4fb1067 completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 4:54 a.m.