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.