Triple
T428173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Ball Zoo |
E9655
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
John Ball
John Ball was a prominent 19th-century Grand Rapids businessman and landowner whose donated property became the site of the John Ball Zoo.
|
E55966
|
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 Ball | Statement: [John Ball Zoo, namedAfter, John Ball]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Ball Context triple: [John Ball Zoo, namedAfter, John Ball]
-
A.
John Pym
John Pym was a leading English parliamentarian and architect of opposition to King Charles I whose leadership in the Long Parliament helped set the stage for the English Civil War.
-
B.
Henry Bacon
Henry Bacon was an American architect best known for designing the Lincoln Memorial in Washington, D.C.
-
C.
Lloyd Bryce
Lloyd Bryce was an American editor, politician, and diplomat best known for his influential leadership of the North American Review in the late 19th century.
-
D.
John Mitchell
John Mitchell was the U.S. Attorney General under President Richard Nixon and a central figure in the Watergate scandal.
-
E.
Julius Lankershim
Julius Lankershim was a prominent 19th-century Los Angeles landowner and developer whose holdings and influence helped shape early Hollywood and the San Fernando Valley.
- 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 Ball Triple: [John Ball Zoo, namedAfter, John Ball]
Generated description
John Ball was a prominent 19th-century Grand Rapids businessman and landowner whose donated property became the site of the John Ball Zoo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Ball Target entity description: John Ball was a prominent 19th-century Grand Rapids businessman and landowner whose donated property became the site of the John Ball Zoo.
-
A.
John Pym
John Pym was a leading English parliamentarian and architect of opposition to King Charles I whose leadership in the Long Parliament helped set the stage for the English Civil War.
-
B.
Henry Bacon
Henry Bacon was an American architect best known for designing the Lincoln Memorial in Washington, D.C.
-
C.
Lloyd Bryce
Lloyd Bryce was an American editor, politician, and diplomat best known for his influential leadership of the North American Review in the late 19th century.
-
D.
John Mitchell
John Mitchell was the U.S. Attorney General under President Richard Nixon and a central figure in the Watergate scandal.
-
E.
Julius Lankershim
Julius Lankershim was a prominent 19th-century Los Angeles landowner and developer whose holdings and influence helped shape early Hollywood and the San Fernando Valley.
- 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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eeecb64c81908c5c83ef7c0181e6 |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a442a01ebc8190bc4810df7c358932 |
completed | March 1, 2026, 1:44 p.m. |
| NEDg | Description generation | batch_69a4430b95048190bde4ff5118bda91f |
completed | March 1, 2026, 1:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4433c43388190a634c2a630bde2e6 |
completed | March 1, 2026, 1:46 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.