Triple
T1217754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Paul Stevens |
E26144
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of John Paul Stevens, a long-serving associate justice of the United States Supreme Court.
|
E167810
|
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 Paul Stevens, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Paul Stevens, givenName, John]
-
A.
John
John is the formal first name of Johnny Most, the famed American sports broadcaster known for his passionate radio commentary of Boston Celtics basketball games.
-
B.
John
John is the given name of the prominent American architect John Russell Pope, known for designing monumental buildings in Washington, D.C.
-
C.
John
John is the first name of Jeremy Thorpe, a prominent British Liberal Party politician and former party leader.
-
D.
John
John is the given name of the British physicist J. J. Thomson, who is best known for discovering the electron and proposing the plum pudding model of the atom.
-
E.
John
John is the given name of Sir John Soane, the renowned English neoclassical architect and collector best known for designing the Bank of England and founding Sir John Soane’s Museum in London.
- 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 Paul Stevens, givenName, John]
Generated description
John is the given name of John Paul Stevens, a long-serving associate justice of the United States Supreme Court.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of John Paul Stevens, a long-serving associate justice of the United States Supreme Court.
-
A.
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.
-
B.
John
John is the given name of the influential American political philosopher John Rawls, known for his theory of justice as fairness.
-
C.
John
John is the given name of John Foster Dulles, a prominent 20th-century American diplomat and U.S. Secretary of State during the Eisenhower administration.
-
D.
John
John is the given name of John D. Rockefeller Jr., the American philanthropist and heir to the Rockefeller family fortune.
-
E.
John
John is the given name of the renowned American author John Steinbeck, known for works such as "The Grapes of Wrath" and "Of Mice and Men."
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be08157c8190b248bb75b922644f |
completed | March 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e56e7fc8190a81cbd97e20fd0e6 |
completed | March 8, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69ad0eba81d481909e2912832d527cec |
completed | March 8, 2026, 5:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0f835b6c81908efa0c7820fdc05b |
completed | March 8, 2026, 5:56 a.m. |
Created at: March 1, 2026, 7:46 p.m.