Triple

T5655286
Position Surface form Disambiguated ID Type / Status
Subject Sir Ian Wood E124601 entity
Predicate spouse P13 FINISHED
Object Helen Wood
Helen Wood is the wife of Scottish businessman and philanthropist Sir Ian Wood, former chairman of the Wood Group.
E635971 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: Helen Wood | Statement: [Sir Ian Wood, spouse, Helen Wood]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Helen Wood
Context triple: [Sir Ian Wood, spouse, Helen Wood]
  • A. Helen Davies
    Helen Davies was the first wife of American actor George Peppard, with whom she was married in the 1950s and early 1960s.
  • B. Helen Morris
    Helen Morris is an American book editor and the longtime wife of acclaimed film director Martin Scorsese.
  • C. Helen Tasker
    Helen Tasker is a central character in the action-comedy film "True Lies," portrayed as the unsuspecting wife of a secret agent whose ordinary life is upended by her husband's covert world of espionage.
  • D. Helen Humes
    Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
  • E. Helen Wright
    Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
  • 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: Helen Wood
Triple: [Sir Ian Wood, spouse, Helen Wood]
Generated description
Helen Wood is the wife of Scottish businessman and philanthropist Sir Ian Wood, former chairman of the Wood Group.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Helen Wood
Target entity description: Helen Wood is the wife of Scottish businessman and philanthropist Sir Ian Wood, former chairman of the Wood Group.
  • A. Helen Davies
    Helen Davies was the first wife of American actor George Peppard, with whom she was married in the 1950s and early 1960s.
  • B. Helen Morris
    Helen Morris is an American book editor and the longtime wife of acclaimed film director Martin Scorsese.
  • C. Helen Tasker
    Helen Tasker is a central character in the action-comedy film "True Lies," portrayed as the unsuspecting wife of a secret agent whose ordinary life is upended by her husband's covert world of espionage.
  • D. Helen Humes
    Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
  • E. Helen Wright
    Helen Wright is a wealthy, emotionally volatile socialite who becomes romantically entangled with a young violin prodigy in the film "Humoresque."
  • 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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c022f998688190b18eb6469e8c054f completed March 22, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c769cd39e081908624c8471b9131a1 completed March 28, 2026, 5:40 a.m.
NEDg Description generation batch_69c76da6e9e4819097c42d5a74efb3e7 completed March 28, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69c76e01a3fc8190b766188a0c243385 completed March 28, 2026, 5:58 a.m.
Created at: March 22, 2026, 3:42 p.m.