Triple

T20215019
Position Surface form Disambiguated ID Type / Status
Subject ER E493594 entity
Predicate portrayedBy P1507 FINISHED
Object Laura Innes 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: Laura Innes | Statement: [ER, portrayedBy, Laura Innes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Innes
Context triple: [ER, portrayedBy, Laura Innes]
  • A. Laura Innes chosen
    Laura Innes is an American actress and television director best known for her long-running role as Dr. Kerry Weaver on the medical drama series "ER."
  • B. Emily VanCamp
    Emily VanCamp is a Canadian actress best known for her leading role as Emily Thorne/Amanda Clarke on the television drama series "Revenge" and for playing Sharon Carter in the Marvel Cinematic Universe.
  • C. Natasha Henstridge
    Natasha Henstridge is a Canadian actress and former model best known for her breakout role as the alien-human hybrid Sil in the science fiction horror film "Species" and its sequels.
  • D. Yeardley Smith
    Yeardley Smith is an American actress and voice actress best known for voicing Lisa Simpson on the long-running animated television series "The Simpsons."
  • E. Shannon Elizabeth
    Shannon Elizabeth is an American actress and former fashion model best known for her breakout role in the comedy film "American Pie."
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66ed8101081908e53a8bde48624b1 completed April 20, 2026, 6:22 p.m.
Created at: April 11, 2026, 11:38 p.m.