Triple

T3053708
Position Surface form Disambiguated ID Type / Status
Subject Looking for Eric E60430 entity
Predicate starring P1507 FINISHED
Object Lucy-Jo Hudson
Lucy-Jo Hudson is an English actress known for her roles in British television dramas and soap operas.
E322413 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: Lucy-Jo Hudson | Statement: [Looking for Eric, starring, Lucy-Jo Hudson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucy-Jo Hudson
Context triple: [Looking for Eric, starring, Lucy-Jo Hudson]
  • A. Lucy Briers
    Lucy Briers is an English actress known for her work in television, film, and theatre, including her role as Mary Bennet in the 1995 BBC adaptation of "Pride and Prejudice."
  • B. Isla Dawson
    Isla Dawson is a remote Chilean island in southern Patagonia, located within the Strait of Magellan and known for its harsh climate and historical use as a mission and penal colony.
  • C. Sophie Cookson
    Sophie Cookson is an English actress best known for her breakout role as Roxy in the action spy film "Kingsman: The Secret Service."
  • D. Josie Lloyd
    Josie Lloyd is an American actress known for her television work in the 1960s, including appearances on shows like "The Andy Griffith Show."
  • E. Imogen Poots
    Imogen Poots is a British actress known for her versatile performances in films such as "Green Room," "28 Weeks Later," and "Need for Speed."
  • 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: Lucy-Jo Hudson
Triple: [Looking for Eric, starring, Lucy-Jo Hudson]
Generated description
Lucy-Jo Hudson is an English actress known for her roles in British television dramas and soap operas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lucy-Jo Hudson
Target entity description: Lucy-Jo Hudson is an English actress known for her roles in British television dramas and soap operas.
  • A. Lucy Briers
    Lucy Briers is an English actress known for her work in television, film, and theatre, including her role as Mary Bennet in the 1995 BBC adaptation of "Pride and Prejudice."
  • B. Isla Dawson
    Isla Dawson is a remote Chilean island in southern Patagonia, located within the Strait of Magellan and known for its harsh climate and historical use as a mission and penal colony.
  • C. Sophie Cookson
    Sophie Cookson is an English actress best known for her breakout role as Roxy in the action spy film "Kingsman: The Secret Service."
  • D. Josie Lloyd
    Josie Lloyd is an American actress known for her television work in the 1960s, including appearances on shows like "The Andy Griffith Show."
  • E. Imogen Poots
    Imogen Poots is a British actress known for her versatile performances in films such as "Green Room," "28 Weeks Later," and "Need for Speed."
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf51b5081908ce355a76cfa9e3c completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef00630c8190a3b5b2854350ecb9 completed March 11, 2026, 10:38 p.m.
NEDg Description generation batch_69b1efa8c11081908661b33e465e11bc completed March 11, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69b1f05e44e08190be8b194938b6c1c7 completed March 11, 2026, 10:44 p.m.
Created at: March 8, 2026, 3:01 p.m.