Triple

T7299583
Position Surface form Disambiguated ID Type / Status
Subject John C. Stennis E167809 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John C. Stennis, a long-serving U.S. Senator from Mississippi and influential figure in American defense and military policy.
E167809 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 | Statement: [John C. Stennis, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John C. Stennis, givenName, John]
  • A. John
    John is the husband of Martha Rainsborough.
  • B. John
    John is the first name of Pete Ricketts, an American businessman and politician who has served as governor of Nebraska.
  • C. John
    John IV of Portugal was a 17th-century Portuguese king who restored the country's independence from Spain and founded the Braganza dynasty.
  • D. John
    John is the given name of John Henry Patterson, an American industrialist and founder of the National Cash Register Company.
  • E. John
    John is the first name of J. Michael Luttig, a prominent American conservative jurist and former federal appellate judge.
  • 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
Triple: [John C. Stennis, givenName, John]
Generated description
John is the given name of John C. Stennis, a long-serving U.S. Senator from Mississippi and influential figure in American defense and military policy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John C. Stennis, a long-serving U.S. Senator from Mississippi and influential figure in American defense and military policy.
  • A. John chosen
    John is the given name of John C. Stennis, a long-serving U.S. Senator from Mississippi known for his influence on defense policy.
  • B. John
    John is the given name of John Sherman Cooper, a prominent American politician and long-serving U.S. Senator from Kentucky.
  • C. John
    John is the given name of John F. Lehman, a former U.S. Secretary of the Navy and influential defense policy figure.
  • D. John
    John is the given name of John W. Vessey Jr., a U.S. Army general who served as Chairman of the Joint Chiefs of Staff.
  • E. John
    John is the given name of American politician and diplomat John Kerry, a former U.S. Secretary of State and Democratic presidential nominee.
  • F. None of above.

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_69c6888c820881909fc68f689fe1c251 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6ebad1b4481909e49ccc580007e4b completed March 27, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c81eb53060819081312e8b2805e9db completed March 28, 2026, 6:32 p.m.
NEDg Description generation batch_69c81fb91eb88190b6436ace69d44211 completed March 28, 2026, 6:36 p.m.
NED2 Entity disambiguation (via description) batch_69c822f547388190be0879b70542a421 completed March 28, 2026, 6:50 p.m.
Created at: March 27, 2026, 3:01 p.m.