Triple

T4016583
Position Surface form Disambiguated ID Type / Status
Subject J. Michael Luttig E90775 entity
Predicate givenName P17 FINISHED
Object John
John is the first name of J. Michael Luttig, a prominent American conservative jurist and former federal appellate judge.
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: [J. Michael Luttig, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [J. Michael Luttig, givenName, John]
  • A. John
    John is traditionally regarded as the author of the New Testament’s Book of Revelation, a prophetic and apocalyptic text in Christian scripture.
  • B. John
    John is the given name of the renowned British mathematician John H. Conway, known for his work in group theory, number theory, and the invention of the Game of Life.
  • C. John
    John is the given first name of J. Michael Bishop, the American immunologist and Nobel Prize–winning scientist known for his work on oncogenes.
  • D. John
    John is the given name of John H. Hammond Jr., the influential American record producer and talent scout known for discovering and promoting numerous major jazz, blues, and rock musicians.
  • E. John
    John is the given name of John F. Sattler, likely referring to him in a more informal or abbreviated context.
  • 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: [J. Michael Luttig, givenName, John]
Generated description
John is the first name of J. Michael Luttig, a prominent American conservative jurist and former federal appellate judge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the first name of J. Michael Luttig, a prominent American conservative jurist and former federal appellate judge.
  • A. John
    John is the given name of John G. Roberts Jr., the Chief Justice of the United States Supreme Court.
  • B. John
    John is the given name of John Jay, one of the Founding Fathers of the United States and the first Chief Justice of the U.S. Supreme Court.
  • C. 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.
  • D. John
    John is the first name of Dennis Hastert, the former Speaker of the United States House of Representatives.
  • E. John
    John is the given name of John Marshall Harlan, a prominent U.S. Supreme Court Justice known for his influential dissents in civil rights cases.
  • 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_69aed95e44088190aff7d90a151b1b20 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefaa7352481908232534c89a698e7 completed March 9, 2026, 4:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5562455a0819097fb6a566f2d387a completed March 14, 2026, 12:35 p.m.
NEDg Description generation batch_69b556bd17f481909647a10398025f3e completed March 14, 2026, 12:38 p.m.
NED2 Entity disambiguation (via description) batch_69b55733159481908d5a427a57bef9a3 completed March 14, 2026, 12:40 p.m.
Created at: March 9, 2026, 3:35 p.m.