Triple

T15571056
Position Surface form Disambiguated ID Type / Status
Subject Barry Eisenberg E374239 entity
Predicate child P120 FINISHED
Object Kerri Eisenberg E374793 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: Kerri Eisenberg | Statement: [Barry Eisenberg, child, Kerri Eisenberg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kerri Eisenberg
Context triple: [Barry Eisenberg, child, Kerri Eisenberg]
  • A. Kerri Eisenberg chosen
    Kerri Eisenberg is an American actress and voice actress known for her work in film and television, and as the older sister of actress Hallie Kate Eisenberg.
  • B. Kirsten Cohen
    Kirsten Cohen is a central character on the television series "The O.C.," known as the wealthy, caring yet conflicted Newport Beach matriarch of the Cohen family.
  • C. Erica Steinberg
    Erica Steinberg is a film producer known for her work on projects such as the 2015 movie "Victor Frankenstein."
  • D. Keren Rosenberg
    Keren Rosenberg is a film producer known for her work on the adaptation of Amos Oz’s autobiographical novel "A Tale of Love and Darkness."
  • E. Lisa Edelstein
    Lisa Edelstein is an American actress and writer best known for her role as Dr. Lisa Cuddy on the television series "House" and for prominent performances in various film and TV dramas and comedies.
  • 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_69d85ccd575081908909b71a3f3e3a61 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e1de0488190b3639fc25f79d343 completed April 16, 2026, 2:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01232399008190b23dfaec237563ef completed May 11, 2026, 12:30 a.m.
Created at: April 10, 2026, 4:10 a.m.