Triple

T16772530
Position Surface form Disambiguated ID Type / Status
Subject John Michael Luttig E407635 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Michael Luttig, an American lawyer and former federal judge on the U.S. Court of Appeals for the Fourth Circuit.
E407635 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 Michael Luttig, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Michael Luttig, givenName, John]
  • A. John
    John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
  • B. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • C. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • D. John
    John is the given name of John C. Sheehan, an American organic chemist renowned for achieving the first complete laboratory synthesis of penicillin.
  • E. John
    John is the given name of John Cornford, a British poet and communist who was killed while fighting in the Spanish Civil War.
  • 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 Michael Luttig, givenName, John]
Generated description
John is the given name of John Michael Luttig, an American lawyer and former federal judge on the U.S. Court of Appeals for the Fourth Circuit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Michael Luttig, an American lawyer and former federal judge on the U.S. Court of Appeals for the Fourth Circuit.
  • A. John chosen
    John is the first name of J. Michael Luttig, a prominent American conservative jurist and former federal appellate judge.
  • B. John
    John is the given name of John Marshall, the influential fourth Chief Justice of the United States who helped define the role of the Supreme Court and the development of American constitutional law.
  • C. John
    John is the given name of John G. Roberts Jr., the Chief Justice of the United States Supreme Court.
  • D. John
    John is the given name of John M. Harlan II, an influential 20th-century Associate Justice of the United States Supreme Court known for his strong advocacy of judicial restraint and civil liberties.
  • E. John
    John is the given name of John Paul Stevens, a long-serving associate justice of the United States Supreme Court.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b036ff788190bd9f166c3f127818 completed April 18, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a515ca7c8190a2d5894f4273f9c8 completed May 10, 2026, 3:32 p.m.
NEDg Description generation batch_6a00a58e66cc8190b52f7281e3efeca7 completed May 10, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_6a00a6734d008190bb0a5aa28826e73a completed May 10, 2026, 3:38 p.m.
Created at: April 10, 2026, 5:21 a.m.