Triple

T14711485
Position Surface form Disambiguated ID Type / Status
Subject Rescue Me E345557 entity
Predicate starring P1507 FINISHED
Object Andrea Roth
Andrea Roth is a Canadian actress best known for her role as Janet Gavin on the television drama series "Rescue Me."
E1125857 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: Andrea Roth | Statement: [Rescue Me, starring, Andrea Roth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrea Roth
Context triple: [Rescue Me, starring, Andrea Roth]
  • A. Alexandra Papenfus
    Alexandra Papenfus is a person after whom another individual named Alexandra was named, suggesting she holds personal or familial significance to the namer.
  • B. Amy Gilliam
    Amy Gilliam is a film producer and the daughter of director Terry Gilliam, known for her work on projects such as the fantasy film "The Imaginarium of Doctor Parnassus."
  • C. Jodi Wexler
    Jodi Wexler is an actress best known for her role in the film "The Love Machine."
  • D. Eleanor Zellman
    Eleanor Zellman, better known by her stage name Eleanor Audley, was an American actress famed for her distinctive voice work in classic Disney films and for roles in mid-20th-century radio and television.
  • E. Lindsay Shapero
    Lindsay Shapero is a screenwriter best known for writing the screenplay for the British spy drama film "Red Joan."
  • 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: Andrea Roth
Triple: [Rescue Me, starring, Andrea Roth]
Generated description
Andrea Roth is a Canadian actress best known for her role as Janet Gavin on the television drama series "Rescue Me."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Andrea Roth
Target entity description: Andrea Roth is a Canadian actress best known for her role as Janet Gavin on the television drama series "Rescue Me."
  • A. Alexandra Papenfus
    Alexandra Papenfus is a person after whom another individual named Alexandra was named, suggesting she holds personal or familial significance to the namer.
  • B. Amy Gilliam
    Amy Gilliam is a film producer and the daughter of director Terry Gilliam, known for her work on projects such as the fantasy film "The Imaginarium of Doctor Parnassus."
  • C. Jodi Wexler
    Jodi Wexler is an actress best known for her role in the film "The Love Machine."
  • D. Eleanor Zellman
    Eleanor Zellman, better known by her stage name Eleanor Audley, was an American actress famed for her distinctive voice work in classic Disney films and for roles in mid-20th-century radio and television.
  • E. Lindsay Shapero
    Lindsay Shapero is a screenwriter best known for writing the screenplay for the British spy drama film "Red Joan."
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb982bf248190881e21a8a0861a3f completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b43360481908dc73d5e6758fea6 completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6e2f60408190b37d85d5e5f51eb1 completed May 8, 2026, 11:13 p.m.
NED2 Entity disambiguation (via description) batch_69fe6e93ffbc819081ae127902a82c5b completed May 8, 2026, 11:15 p.m.
Created at: April 10, 2026, 1:28 a.m.