Triple

T15330137
Position Surface form Disambiguated ID Type / Status
Subject Like Father E366510 entity
Predicate producer P490 FINISHED
Object Cindy Tolan — NE ONDG

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: Cindy Tolan | Statement: [Like Father, producer, Cindy Tolan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cindy Tolan
Context triple: [Like Father, producer, Cindy Tolan]
  • A. Tricia Sullivan
    Tricia Sullivan is an American-born science fiction author known for her innovative, genre-bending novels and award-winning contributions to speculative fiction.
  • B. Kathleen St. Johns
    Kathleen St. Johns is known as a former spouse of bestselling American author and filmmaker Michael Crichton.
  • C. Nancy Shevell
    Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
  • D. Kathleen Wilhoite
    Kathleen Wilhoite is an American actress and singer-songwriter known for her character roles in film and television, including appearances in projects like "Lorenzo's Oil," "ER," and "Gilmore Girls."
  • E. Linda Rogo
    Linda Rogo is a central passenger character in the disaster film "The Poseidon Adventure," known for her tough, streetwise demeanor and complex past as a former prostitute married to a police detective.
  • 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: Cindy Tolan
Triple: [Like Father, producer, Cindy Tolan]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cindy Tolan
Target entity description: Cindy Tolan is a prominent American casting director and producer known for her work on acclaimed film and television projects.
  • A. Tricia Sullivan
    Tricia Sullivan is an American-born science fiction author known for her innovative, genre-bending novels and award-winning contributions to speculative fiction.
  • B. Kathleen St. Johns
    Kathleen St. Johns is known as a former spouse of bestselling American author and filmmaker Michael Crichton.
  • C. Nancy Shevell
    Nancy Shevell is an American businesswoman and heiress best known for her long-term relationship and marriage to musician Paul McCartney.
  • D. Kathleen Wilhoite
    Kathleen Wilhoite is an American actress and singer-songwriter known for her character roles in film and television, including appearances in projects like "Lorenzo's Oil," "ER," and "Gilmore Girls."
  • E. Linda Rogo
    Linda Rogo is a central passenger character in the disaster film "The Poseidon Adventure," known for her tough, streetwise demeanor and complex past as a former prostitute married to a police detective.
  • F. None of above. chosen

Provenance (4 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0161ac8190aa1d52c063c02ad0 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01953c493c819084850ab8e7f0d261 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01963971248190b5e2b0b77eb7cbfe in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 3:17 a.m.