Triple

T16457632
Position Surface form Disambiguated ID Type / Status
Subject Undeclared E399721 entity
Predicate helpedLaunchCareerOf P14805 FINISHED
Object Carla Gallo E652296 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: Carla Gallo | Statement: [Undeclared, helpedLaunchCareerOf, Carla Gallo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carla Gallo
Context triple: [Undeclared, helpedLaunchCareerOf, Carla Gallo]
  • A. Carla Gallo chosen
    Carla Gallo is an American actress known for her comedic and character roles in film and television, including appearances in projects produced by Judd Apatow.
  • B. Carla Leone
    Carla Leone was the wife of renowned Italian film director Sergio Leone.
  • C. Karla DeVito
    Karla DeVito is an American singer and actress best known for her work in rock music and musical theatre, including touring and performing with major artists in the late 1970s and 1980s.
  • D. Lisa Loiacono
    Lisa Loiacono is a real estate agent best known as the wife of actor Christopher Lloyd.
  • E. Melissa Gallo
    Melissa Gallo is an American actress best known for her role as Amy Santiago on the television sitcom "Brooklyn Nine-Nine," under her professional name Melissa Fumero.
  • 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_69d87f2dac988190b74d6e185fa88ba4 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32d7ef5cc819084cfeb1a3e39d3cc completed April 18, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00607618c8819090fc9f18ae5f30dd completed May 10, 2026, 10:39 a.m.
Created at: April 10, 2026, 5:10 a.m.