Triple
T1366836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John F. Sattler |
E30022
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of John F. Sattler, likely referring to him in a more informal or abbreviated context.
|
E167820
|
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 F. Sattler, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John F. Sattler, 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 F. Sattler, givenName, John]
Generated description
John is the given name of John F. Sattler, likely referring to him in a more informal or abbreviated context.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of John F. Sattler, likely referring to him in a more informal or abbreviated context.
-
A.
John
John is the given name of John D. Rockefeller Jr., the American philanthropist and heir to the Rockefeller family fortune.
-
B.
John
John is the first name of American comedian and actor Will Ferrell, known for his work on Saturday Night Live and numerous comedy films.
-
C.
John
John is the given name of John Perry Barlow, the American poet, essayist, and co-founder of the Electronic Frontier Foundation known for his advocacy of digital rights.
-
D.
John
John is the given name of British actor and producer John Boyega, known for his role as Finn in the Star Wars sequel trilogy.
-
E.
John
John is the given name of John R. Pierce, an American engineer and scientist known for his pioneering work in communications and satellite technology.
- 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_69a498f912008190a376a98b207b2071 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c2d33d2081908008494b5f56bf56 |
completed | March 1, 2026, 10:50 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, 7:57 p.m.