Triple

T5062911
Position Surface form Disambiguated ID Type / Status
Subject Lydia Moore Parker E114067 entity
Predicate spouse P13 FINISHED
Object John Parker
John Parker is an individual known primarily as the husband of Lydia Moore Parker.
 E490327 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: John Parker | Statement: [Lydia Moore Parker, spouse, John Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Parker
Context triple: [Lydia Moore Parker, spouse, John Parker]
  • A. John Parker
    John Parker was an American colonial militia captain best known for leading the Lexington militia at the opening skirmishes of the American Revolutionary War.
  • B. Nathaniel Parker
    Nathaniel Parker is an English actor known for his work in film, television, and theatre, including roles in adaptations of classic literature and popular detective dramas.
  • C. Jonathan Jennings
    Jonathan Jennings was an American politician who became the first governor of the state of Indiana and played a key role in its transition from territory to statehood.
  • D. Samuel Knox
    Samuel Knox was a 19th-century American Presbyterian minister, educator, and politician who served as a U.S. Representative from Missouri.
  • E. William Dawes
    William Dawes was an architect known for his work on major British railway stations, including the design of Manchester Victoria.
  • 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: John Parker
Triple: [Lydia Moore Parker, spouse, John Parker]
Generated description
John Parker is an individual known primarily as the husband of Lydia Moore Parker.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John Parker
Target entity description: John Parker is an individual known primarily as the husband of Lydia Moore Parker.
  • A. John Parker
    John Parker was an American colonial militia captain best known for leading the Lexington militia at the opening skirmishes of the American Revolutionary War.
  • B. Nathaniel Parker
    Nathaniel Parker is an English actor known for his work in film, television, and theatre, including roles in adaptations of classic literature and popular detective dramas.
  • C. Jonathan Jennings
    Jonathan Jennings was an American politician who became the first governor of the state of Indiana and played a key role in its transition from territory to statehood.
  • D. Samuel Knox
    Samuel Knox was a 19th-century American Presbyterian minister, educator, and politician who served as a U.S. Representative from Missouri.
  • E. William Dawes
    William Dawes was an architect known for his work on major British railway stations, including the design of Manchester Victoria.
  • 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_69bd443c0c8c81908663b77afb28e165 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7475be3c819085cde8ec544c407e completed March 20, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea497fed0819098746fd8917f041c completed March 21, 2026, 2 p.m.
NEDg Description generation batch_69bea5163c78819086d2424ee7b57890 completed March 21, 2026, 2:03 p.m.
NED2 Entity disambiguation (via description) batch_69bea577f4b0819084d579e4d4804947 completed March 21, 2026, 2:04 p.m.
Created at: March 20, 2026, 1:38 p.m.