Triple

T12014157
Position Surface form Disambiguated ID Type / Status
Subject John M. Harlan II E285980 entity
Predicate givenName P17 FINISHED
Object John
John M. Harlan II was an influential Associate Justice of the U.S. Supreme Court known for his strong advocacy of judicial restraint and civil liberties during the mid-20th century.
E285980 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 M. Harlan II, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John M. Harlan II, 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 Vassall Jr. was a British civil servant who became notorious as a Soviet spy during the Cold War.
  • C. John
    John is the given name of John A. Roebling II, an American civil engineer and philanthropist from the prominent Roebling family associated with major bridge construction.
  • D. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • E. John
    John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
  • 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 M. Harlan II, givenName, John]
Generated description
John M. Harlan II was an influential Associate Justice of the U.S. Supreme Court known for his strong advocacy of judicial restraint and civil liberties during the mid-20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John M. Harlan II was an influential Associate Justice of the U.S. Supreme Court known for his strong advocacy of judicial restraint and civil liberties during the mid-20th century.
  • A. John chosen
    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.
  • B. 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.
  • C. John
    John is the given name of John Paul Stevens, a long-serving associate justice of the United States Supreme Court.
  • D. John
    John is the given name of John Hugh McNary, an American judge who served on the United States District Court for the District of Oregon in the early 20th century.
  • E. John
    John J. McCloy was an influential American lawyer, banker, and statesman who served in key roles such as U.S. High Commissioner for Germany and president of the World Bank.
  • 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_69d6ab45a368819084fce08bf0dc3705 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903d884488190b4450a98088208ef completed April 10, 2026, 2:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f642801881909a94d67c99bfd110 completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fde880f4819094b2170bf4e82138 completed May 2, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69f5ffc2cfd08190b87eccd3a73afc77 completed May 2, 2026, 1:44 p.m.
Created at: April 8, 2026, 9:46 p.m.