Triple

T8512344
Position Surface form Disambiguated ID Type / Status
Subject Honor Blackman E201487 entity
Predicate characterRole P268 FINISHED
Object Laura West
Laura West is a fictional character portrayed by British actress Honor Blackman, best known from the 1980s sitcom "The Upper Hand."
E738633 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: Laura West | Statement: [Honor Blackman, characterRole, Laura West]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura West
Context triple: [Honor Blackman, characterRole, Laura West]
  • A. Karen West
    Karen West is known as the wife of legendary NBA player and executive Jerry West.
  • B. Laura Rister
    Laura Rister is a film producer and executive known for her work on independent and prestige projects, including the financial thriller "Margin Call."
  • C. Laura Lane Welch
    Laura Lane Welch is the birth name of Laura Bush, the former First Lady of the United States and wife of President George W. Bush.
  • D. Laura Jarrett
    Laura Jarrett is an American attorney and journalist known for her work as a legal correspondent on major U.S. news networks.
  • E. Laura Ernst
    Laura Ernst was the second wife of filmmaker Robert Downey Sr., known primarily for her connection to the Downey family.
  • 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: Laura West
Triple: [Honor Blackman, characterRole, Laura West]
Generated description
Laura West is a fictional character portrayed by British actress Honor Blackman, best known from the 1980s sitcom "The Upper Hand."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laura West
Target entity description: Laura West is a fictional character portrayed by British actress Honor Blackman, best known from the 1980s sitcom "The Upper Hand."
  • A. Karen West
    Karen West is known as the wife of legendary NBA player and executive Jerry West.
  • B. Laura Rister
    Laura Rister is a film producer and executive known for her work on independent and prestige projects, including the financial thriller "Margin Call."
  • C. Laura Lane Welch
    Laura Lane Welch is the birth name of Laura Bush, the former First Lady of the United States and wife of President George W. Bush.
  • D. Laura Jarrett
    Laura Jarrett is an American attorney and journalist known for her work as a legal correspondent on major U.S. news networks.
  • E. Laura Ernst
    Laura Ernst was the second wife of filmmaker Robert Downey Sr., known primarily for her connection to the Downey family.
  • 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_69ca8320e5748190ac2c585a0bba8193 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe60b0d4c8190812ddbc1c17389c8 completed March 31, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e4e64f481908ddf99570fe59332 completed April 2, 2026, 11:09 a.m.
NEDg Description generation batch_69ce4ff9792c81908d76141904a170bc completed April 2, 2026, 11:16 a.m.
NED2 Entity disambiguation (via description) batch_69ce50acae5881908f1d2c0e21dd7f1d completed April 2, 2026, 11:19 a.m.
Created at: March 30, 2026, 6:15 p.m.