Triple

T3798847
Position Surface form Disambiguated ID Type / Status
Subject The Prophecy E91638 entity
Predicate producer P490 FINISHED
Object Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
 E525044 NE FINISHED

How this triple was built (4 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: Vicki Sirotta | Statement: [The Prophecy, producer, Vicki Sirotta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vicki Sirotta
Context triple: [The Prophecy, producer, Vicki Sirotta]
  • A. Vickie Gioberti
    Vickie Gioberti is a fictional character from the American prime-time soap opera "Falcon Crest," known as the daughter of Chase and Maggie Gioberti.
  • B. Marcia Rieke
    Marcia Rieke is an American astronomer renowned for her leadership in infrared instrumentation and her key role in developing the James Webb Space Telescope.
  • C. Beverly Van Zile
    Beverly Van Zile is best known as the second wife of Apollo 11 astronaut Buzz Aldrin.
  • D. Diane Wilk
    Diane Wilk is a television writer and producer known for her work on American TV series and for her marriage to fellow writer-producer Brannon Braga.
  • E. Virginia Weidler
    Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vicki Sirotta
Triple: [The Prophecy, producer, Vicki Sirotta]
Generated description
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vicki Sirotta
Target entity description: Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
  • A. Vickie Gioberti
    Vickie Gioberti is a fictional character from the American prime-time soap opera "Falcon Crest," known as the daughter of Chase and Maggie Gioberti.
  • B. Marcia Rieke
    Marcia Rieke is an American astronomer renowned for her leadership in infrared instrumentation and her key role in developing the James Webb Space Telescope.
  • C. Beverly Van Zile
    Beverly Van Zile is best known as the second wife of Apollo 11 astronaut Buzz Aldrin.
  • D. Diane Wilk
    Diane Wilk is a television writer and producer known for her work on American TV series and for her marriage to fellow writer-producer Brannon Braga.
  • E. Virginia Weidler
    Virginia Weidler was an American child actress of the 1930s and 1940s, best remembered for her witty supporting roles in classic Hollywood films such as "The Philadelphia Story."
  • F. None of above. chosen

Provenance (5 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_69aed96354f48190a768966d6bd19b04 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7a270908190ac30537a22f3d500 completed March 9, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf832772d08190842b1e1c1a87ea3a completed March 22, 2026, 5:50 a.m.
NEDg Description generation batch_69bf83e188888190bbc058b0e27125aa completed March 22, 2026, 5:53 a.m.
NED2 Entity disambiguation (via description) batch_69bf844f7be0819089a1cbb3b8c41e0b completed March 22, 2026, 5:55 a.m.
Created at: March 9, 2026, 3:15 p.m.