Triple

T11571673
Position Surface form Disambiguated ID Type / Status
Subject Sharon Kristin Harmon E274400 entity
Predicate alsoKnownAs P39 FINISHED
Object Kristin Harmon E55442 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: Kristin Harmon | Statement: [Sharon Kristin Harmon, alsoKnownAs, Kristin Harmon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristin Harmon
Context triple: [Sharon Kristin Harmon, alsoKnownAs, Kristin Harmon]
  • A. Kristin Harmon chosen
    Kristin Harmon was an American actress and painter best known as a member of the Nelson entertainment family and for her appearances on the television series "The Adventures of Ozzie and Harriet."
  • B. Kristin Yancey
    Kristin Yancey is a fictional character from the American television sitcom "Kristin."
  • C. Karen McCullah Lutz
    Karen McCullah Lutz is an American screenwriter best known for co-writing popular romantic comedies such as "10 Things I Hate About You," "Legally Blonde," and "The House Bunny."
  • D. Amy Eshleman
    Amy Eshleman is an American former public librarian and education advocate best known as the wife of former Chicago mayor Lori Lightfoot.
  • E. Kristin Rusk Robinson
    Kristin Rusk Robinson is a screenwriter best known for her work on the animated musical television special and film project "Entergalactic."
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd6913881908becf188c0a7a275 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e8eface48190a2ed3275191b01ea completed April 21, 2026, 3:03 a.m.
Created at: April 8, 2026, 9:38 p.m.