Triple
T16700021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. Michael Luttig |
E405819
|
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 Seigenthaler was an American journalist, editor, and civil rights advocate best known for his long tenure at The Tennessean and his work promoting First Amendment rights.
-
B.
John
John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
-
C.
John
John of Montfort was a 14th-century nobleman involved in the Breton succession disputes during the Hundred Years’ War.
-
D.
John
John III, Duke of Brittany, was a 14th-century French nobleman who ruled the Duchy of Brittany and played a key role in the succession disputes that led to the Breton War of Succession.
-
E.
John
John of Brienne was a 13th-century French nobleman who served as Grand Butler of France and played a prominent role in the kingdom’s courtly and political life.
- 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
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 G. Roberts Jr., the Chief Justice of the United States Supreme Court.
-
C.
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.
-
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 first name of Dennis Hastert, the former Speaker of the United States House of Representatives.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e383300d108190911e3cba8e07f2dd |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d38a1348190bf51af9847a16aa5 |
completed | May 10, 2026, 2:59 p.m. |
| NEDg | Description generation | batch_6a009dd925308190a82c6ef014b37333 |
completed | May 10, 2026, 3:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a009e9b9874819084060408cdc44d0b |
completed | May 10, 2026, 3:04 p.m. |
Created at: April 10, 2026, 5:19 a.m.