Triple

T20741790
Position Surface form Disambiguated ID Type / Status
Subject The Originals E510458 entity
Predicate executiveProducer P7225 FINISHED
Object Gina Girolamo E667967 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: Gina Girolamo | Statement: [The Originals, executiveProducer, Gina Girolamo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gina Girolamo
Context triple: [The Originals, executiveProducer, Gina Girolamo]
  • A. Gina Girolamo chosen
    Gina Girolamo is a television producer best known for her executive production work on the post-apocalyptic drama series "The 100."
  • B. Gina Cirone
    Gina Cirone is an American woman best known as the wife of actor William Petersen, star of the television series "CSI: Crime Scene Investigation."
  • C. Gina Barrisano
    Gina Barrisano is a central character in the film "Beautiful Girls," portrayed as a charismatic and emotionally complex young woman navigating relationships and small-town life.
  • D. Gina Romantini
    Gina Romantini is a fictional character who appears as a significant figure in the story of violinist Paul Boray in the novel and film "Humoresque."
  • E. Gina Ravera
    Gina Ravera is an American actress known for her roles in television series such as "The Closer" and "ER" as well as various film appearances.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c20f9670819082199de21a8d9818 completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a091387fbe08190930e2a2bcb0b07d1 completed May 17, 2026, 1:02 a.m.
Created at: April 16, 2026, 12:33 p.m.