Triple

T17919784
Position Surface form Disambiguated ID Type / Status
Subject Kathleen Burke E448034 entity
Predicate spouse P13 FINISHED
Object Lyle Lahey
Lyle Lahey was an American editorial cartoonist known for his long-running political cartoons in Wisconsin newspapers.
E1327227 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: Lyle Lahey | Statement: [Kathleen Burke, spouse, Lyle Lahey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lyle Lahey
Context triple: [Kathleen Burke, spouse, Lyle Lahey]
  • A. Lyle Workman
    Lyle Workman is an American guitarist and film composer known for his work on numerous comedy soundtracks and collaborations with artists like Beck and Todd Rundgren.
  • B. Lyle Boyer
    Lyle Boyer is an editor known for his work on the film "Bedlam."
  • C. Lyle Anderson
    Lyle Anderson is a fictional character appearing in the "Kingdom" series.
  • D. Patrick Lahey
    Patrick Lahey is a deep-sea explorer and submersible designer best known as the co-founder and president of Triton Submarines and for piloting record-setting dives to the ocean’s deepest points.
  • E. George LaVoo
    George LaVoo is an American filmmaker and screenwriter best known for his work on independent films, including the acclaimed coming-of-age drama "Real Women Have Curves."
  • 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: Lyle Lahey
Triple: [Kathleen Burke, spouse, Lyle Lahey]
Generated description
Lyle Lahey was an American editorial cartoonist known for his long-running political cartoons in Wisconsin newspapers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lyle Lahey
Target entity description: Lyle Lahey was an American editorial cartoonist known for his long-running political cartoons in Wisconsin newspapers.
  • A. Lyle Workman
    Lyle Workman is an American guitarist and film composer known for his work on numerous comedy soundtracks and collaborations with artists like Beck and Todd Rundgren.
  • B. Lyle Boyer
    Lyle Boyer is an editor known for his work on the film "Bedlam."
  • C. Lyle Anderson
    Lyle Anderson is a fictional character appearing in the "Kingdom" series.
  • D. Patrick Lahey
    Patrick Lahey is a deep-sea explorer and submersible designer best known as the co-founder and president of Triton Submarines and for piloting record-setting dives to the ocean’s deepest points.
  • E. George LaVoo
    George LaVoo is an American filmmaker and screenwriter best known for his work on independent films, including the acclaimed coming-of-age drama "Real Women Have Curves."
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4a309532881908633bd723923880f completed April 19, 2026, 9:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a047125683081908a18067ff3fd7956 completed May 13, 2026, 12:40 p.m.
NEDg Description generation batch_6a04730c241c8190800aa4c99dfa5c08 completed May 13, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_6a0473c5c03c8190956a5d640cfd579d completed May 13, 2026, 12:51 p.m.
Created at: April 10, 2026, 10:20 a.m.