Triple

T10367375
Position Surface form Disambiguated ID Type / Status
Subject Strike Back E244289 entity
Predicate stars P1956 FINISHED
Object Michelle Lukes
Michelle Lukes is a British actress best known for her role as Sergeant Julia Richmond in the action television series "Strike Back."
E860605 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: Michelle Lukes | Statement: [Strike Back, stars, Michelle Lukes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michelle Lukes
Context triple: [Strike Back, stars, Michelle Lukes]
  • A. Laura Mennell
    Laura Mennell is a Canadian actress known for her roles in science fiction and fantasy film and television, including appearances in projects like Watchmen and the series Alphas.
  • B. Michelle Mylett
    Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
  • C. Jennifer Arkland
    Jennifer Arkland is a central character in Sebastian Faulks’s novel "Engleby," whose mysterious fate and relationship with the protagonist drive much of the book’s psychological and suspenseful narrative.
  • D. Sandra Lovelock
    Sandra Lovelock is known as the wife of British scientist James Lovelock, the originator of the Gaia hypothesis.
  • E. Tanya Scholey
    Tanya Scholey is the wife of British wildlife filmmaker and producer Keith Scholey.
  • 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: Michelle Lukes
Triple: [Strike Back, stars, Michelle Lukes]
Generated description
Michelle Lukes is a British actress best known for her role as Sergeant Julia Richmond in the action television series "Strike Back."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Michelle Lukes
Target entity description: Michelle Lukes is a British actress best known for her role as Sergeant Julia Richmond in the action television series "Strike Back."
  • A. Laura Mennell
    Laura Mennell is a Canadian actress known for her roles in science fiction and fantasy film and television, including appearances in projects like Watchmen and the series Alphas.
  • B. Michelle Mylett
    Michelle Mylett is a Canadian actress best known for playing Katy on the comedy series "Letterkenny."
  • C. Jennifer Arkland
    Jennifer Arkland is a central character in Sebastian Faulks’s novel "Engleby," whose mysterious fate and relationship with the protagonist drive much of the book’s psychological and suspenseful narrative.
  • D. Sandra Lovelock
    Sandra Lovelock is known as the wife of British scientist James Lovelock, the originator of the Gaia hypothesis.
  • E. Tanya Scholey
    Tanya Scholey is the wife of British wildlife filmmaker and producer Keith Scholey.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e96fd6f081908f630a16106996d9 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d79546b078819089dec7628c95a681 completed April 9, 2026, 12:02 p.m.
NEDg Description generation batch_69d7bdde34408190a047ede29b91e182 completed April 9, 2026, 2:55 p.m.
NED2 Entity disambiguation (via description) batch_69d7e5fc6a008190b2a2326840074b53 completed April 9, 2026, 5:46 p.m.
Created at: April 6, 2026, noon