Triple

T14568164
Position Surface form Disambiguated ID Type / Status
Subject The Lakes E341839 entity
Predicate starring P1507 FINISHED
Object Caroline O'Neill
Caroline O'Neill is a British actress known for her work in television dramas, including a role in the series "The Lakes."
E1145764 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: Caroline O'Neill | Statement: [The Lakes, starring, Caroline O'Neill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caroline O'Neill
Context triple: [The Lakes, starring, Caroline O'Neill]
  • A. Caroline Farrell
    Caroline Farrell is the original identity of Echo, the central protagonist in Joss Whedon’s science fiction TV series "Dollhouse."
  • B. Caroline Dewar
    Caroline Dewar is a Scottish aristocrat best known as the wife of James Carnegie, 3rd Duke of Fife, linking her to the extended British royal family.
  • C. Caroline Ross
    Caroline Ross is a film editor known for her work on the science fiction movie "Starship Troopers."
  • D. Caroline O'Reilly
    Caroline O'Reilly is known as one of the children of Irish businessman and former rugby international Tony O'Reilly.
  • E. Caroline Thompson
    Caroline Thompson is an American screenwriter and director best known for her work on darkly whimsical films such as Edward Scissorhands, The Nightmare Before Christmas, and Corpse Bride.
  • 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: Caroline O'Neill
Triple: [The Lakes, starring, Caroline O'Neill]
Generated description
Caroline O'Neill is a British actress known for her work in television dramas, including a role in the series "The Lakes."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Caroline O'Neill
Target entity description: Caroline O'Neill is a British actress known for her work in television dramas, including a role in the series "The Lakes."
  • A. Caroline Farrell
    Caroline Farrell is the original identity of Echo, the central protagonist in Joss Whedon’s science fiction TV series "Dollhouse."
  • B. Caroline Dewar
    Caroline Dewar is a Scottish aristocrat best known as the wife of James Carnegie, 3rd Duke of Fife, linking her to the extended British royal family.
  • C. Caroline Ross
    Caroline Ross is a film editor known for her work on the science fiction movie "Starship Troopers."
  • D. Caroline O'Reilly
    Caroline O'Reilly is known as one of the children of Irish businessman and former rugby international Tony O'Reilly.
  • E. Caroline Thompson
    Caroline Thompson is an American screenwriter and director best known for her work on darkly whimsical films such as Edward Scissorhands, The Nightmare Before Christmas, and Corpse Bride.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb38d89fc819086709fd3607b835f completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd1bb1c48190b5d2b4167c756abf completed May 9, 2026, 7:07 a.m.
NEDg Description generation batch_69fedf39eaac8190bddad85be5e6f274 completed May 9, 2026, 7:16 a.m.
NED2 Entity disambiguation (via description) batch_69fee00f3b248190b338f1bb5160a9b2 completed May 9, 2026, 7:19 a.m.
Created at: April 10, 2026, 1:23 a.m.