Triple

T5830868
Position Surface form Disambiguated ID Type / Status
Subject Ethel Merman E129340 entity
Predicate spouse P13 FINISHED
Object William Smith
William Smith was the second husband of famed Broadway and film musical star Ethel Merman.
E547940 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: William Smith | Statement: [Ethel Merman, spouse, William Smith]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Smith
Context triple: [Ethel Merman, spouse, William Smith]
  • A. William Smith
    William Smith was an 18th-century American minister and the father of Abigail Adams, who became the second First Lady of the United States.
  • B. William Smith
    William Smith was a 19th-century American religious leader best known as a younger brother of Joseph Smith and an early apostle in the Latter Day Saint movement.
  • C. William Smith
    William Smith was a British sealer and explorer credited with the early 19th-century discovery of the South Shetland Islands in the Southern Ocean.
  • D. William Smith (antiquarian)
    William Smith was a Scottish antiquarian and scholar known for his contributions to the study and preservation of historical artifacts and records.
  • E. William Smith (scholar)
    William Smith was a Scottish classical scholar and academic known for his contributions to the study and teaching of ancient languages and literature.
  • 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: William Smith
Triple: [Ethel Merman, spouse, William Smith]
Generated description
William Smith was the second husband of famed Broadway and film musical star Ethel Merman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: William Smith
Target entity description: William Smith was the second husband of famed Broadway and film musical star Ethel Merman.
  • A. William Smith
    William Smith was an 18th-century American minister and the father of Abigail Adams, who became the second First Lady of the United States.
  • B. William Smith
    William Smith was a British sealer and explorer credited with the early 19th-century discovery of the South Shetland Islands in the Southern Ocean.
  • C. William Smith
    William Smith was a 19th-century American religious leader best known as a younger brother of Joseph Smith and an early apostle in the Latter Day Saint movement.
  • D. William Smith (antiquarian)
    William Smith was a Scottish antiquarian and scholar known for his contributions to the study and preservation of historical artifacts and records.
  • E. William Smith (scholar)
    William Smith was a Scottish classical scholar and academic known for his contributions to the study and teaching of ancient languages and literature.
  • 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_69c00849d55481908b4f9f5543e0bf6d completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0346ac31c8190bbd28444f75da875 completed March 22, 2026, 6:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09866fd248190b4248a993051b732 completed March 23, 2026, 1:33 a.m.
NEDg Description generation batch_69c0995672f08190acce2a14266ccf6a completed March 23, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69c099fefd6c8190ae1b4480ef133f02 completed March 23, 2026, 1:40 a.m.
Created at: March 22, 2026, 3:54 p.m.