Triple

T820290
Position Surface form Disambiguated ID Type / Status
Subject John Jay E17736 entity
Predicate father P120 FINISHED
Object Peter Jay
Peter Jay was a prominent New York merchant and landowner of the 18th century, best known as the father of American statesman and first Chief Justice John Jay.
E102411 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: Peter Jay | Statement: [John Jay, father, Peter Jay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Jay
Context triple: [John Jay, father, Peter Jay]
  • A. Peter Jacob
    Peter Jacob was the first husband of German filmmaker and photographer Leni Riefenstahl.
  • B. Peter Sargeant
    Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
  • C. Brian Pippard
    Brian Pippard was a prominent British physicist known for his pioneering work in superconductivity and for serving as Cavendish Professor of Physics at the University of Cambridge.
  • D. Geoff Petrie
    Geoff Petrie is a former American professional basketball guard best known as an early star for the Portland Trail Blazers and later a longtime NBA executive.
  • E. Tony James
    Tony James is an American financier and executive best known as the longtime president and chief operating officer of Blackstone and for his leadership roles at major cultural institutions.
  • 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: Peter Jay
Triple: [John Jay, father, Peter Jay]
Generated description
Peter Jay was a prominent New York merchant and landowner of the 18th century, best known as the father of American statesman and first Chief Justice John Jay.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Peter Jay
Target entity description: Peter Jay was a prominent New York merchant and landowner of the 18th century, best known as the father of American statesman and first Chief Justice John Jay.
  • A. Peter Jacob
    Peter Jacob was the first husband of German filmmaker and photographer Leni Riefenstahl.
  • B. Peter Sargeant
    Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
  • C. Brian Pippard
    Brian Pippard was a prominent British physicist known for his pioneering work in superconductivity and for serving as Cavendish Professor of Physics at the University of Cambridge.
  • D. Geoff Petrie
    Geoff Petrie is a former American professional basketball guard best known as an early star for the Portland Trail Blazers and later a longtime NBA executive.
  • E. Tony James
    Tony James is an American financier and executive best known as the longtime president and chief operating officer of Blackstone and for his leadership roles at major cultural institutions.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab6698d881908d8c5d91259f97ec completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3b47ba481908a8db2bec414a3e4 completed March 4, 2026, 3:15 a.m.
NEDg Description generation batch_69a7a563fa3c81908078cb9b07e28695 completed March 4, 2026, 3:22 a.m.
NED2 Entity disambiguation (via description) batch_69a7a5c2a95c8190b0d0a385ef035880 completed March 4, 2026, 3:23 a.m.
Created at: March 1, 2026, 7:38 p.m.