Triple

T15437189
Position Surface form Disambiguated ID Type / Status
Subject In the Gloaming E369794 entity
Predicate castMember P1668 FINISHED
Object Bridget Tierney
Bridget Tierney is an actress known for her role in the television film "In the Gloaming."
E1256717 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: Bridget Tierney | Statement: [In the Gloaming, castMember, Bridget Tierney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bridget Tierney
Context triple: [In the Gloaming, castMember, Bridget Tierney]
  • A. Bridget Kearney
    Bridget Kearney is an American bassist, songwriter, and singer best known as a founding member of the genre-blending band Lake Street Dive.
  • B. Bridget O’Connor
    Bridget O’Connor was a British screenwriter and playwright best known for co-writing the acclaimed adaptation of John le Carré’s Tinker Tailor Soldier Spy (2011).
  • C. Bridget Hennessy
    Bridget Hennessy is a popular, fashion-conscious and somewhat ditzy teenage daughter portrayed by Kaley Cuoco on the sitcom "8 Simple Rules."
  • D. Kate Nelligan
    Kate Nelligan is a Canadian actress acclaimed for her work in film, television, and theatre, noted for her intense dramatic performances and multiple award nominations.
  • E. Deirdre O'Connell
    Deirdre O'Connell is an American actress known for her extensive work in film, television, and theater, including acclaimed stage performances and character roles on screen.
  • 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: Bridget Tierney
Triple: [In the Gloaming, castMember, Bridget Tierney]
Generated description
Bridget Tierney is an actress known for her role in the television film "In the Gloaming."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bridget Tierney
Target entity description: Bridget Tierney is an actress known for her role in the television film "In the Gloaming."
  • A. Bridget Kearney
    Bridget Kearney is an American bassist, songwriter, and singer best known as a founding member of the genre-blending band Lake Street Dive.
  • B. Bridget O’Connor
    Bridget O’Connor was a British screenwriter and playwright best known for co-writing the acclaimed adaptation of John le Carré’s Tinker Tailor Soldier Spy (2011).
  • C. Bridget Hennessy
    Bridget Hennessy is a popular, fashion-conscious and somewhat ditzy teenage daughter portrayed by Kaley Cuoco on the sitcom "8 Simple Rules."
  • D. Kate Nelligan
    Kate Nelligan is a Canadian actress acclaimed for her work in film, television, and theatre, noted for her intense dramatic performances and multiple award nominations.
  • E. Deirdre O'Connell
    Deirdre O'Connell is an American actress known for her extensive work in film, television, and theater, including acclaimed stage performances and character roles on screen.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03edca064819081510bf303271062 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fb168548190afb975ef60fa5f3e completed May 11, 2026, 4:48 a.m.
NEDg Description generation batch_6a0161b31540819098aa6275f96433ad completed May 11, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_6a016299d9ac8190be74d5db0d28ea36 completed May 11, 2026, 5:01 a.m.
Created at: April 10, 2026, 3:21 a.m.