Triple
T11477277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John W. "Iron Mike" O'Daniel |
E272054
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John W. "Iron Mike" O'Daniel was a highly decorated U.S. Army lieutenant general known for his leadership in World War II and the Korean War.
|
E927624
|
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 W. "Iron Mike" O'Daniel, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John W. "Iron Mike" O'Daniel, givenName, John]
-
A.
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.
-
B.
John
John is the given name of John Cassin, a 19th-century American ornithologist known for his extensive work in classifying North American birds.
-
C.
John
John Adams II was an American lawyer and diplomat who served as the sixth president John Quincy Adams’s son and the grandson of President John Adams.
-
D.
John
John is the given name of the influential American jazz saxophonist and composer John Coltrane.
-
E.
John
John St. Clair Drake was an influential American sociologist and anthropologist known for his pioneering studies of race relations and urban Black life.
- 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 W. "Iron Mike" O'Daniel, givenName, John]
Generated description
John W. "Iron Mike" O'Daniel was a highly decorated U.S. Army lieutenant general known for his leadership in World War II and the Korean War.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John W. "Iron Mike" O'Daniel was a highly decorated U.S. Army lieutenant general known for his leadership in World War II and the Korean War.
-
A.
John
John is the given name of John W. Vessey Jr., a U.S. Army general who served as Chairman of the Joint Chiefs of Staff.
-
B.
John
John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
-
C.
John
John is the given name of John F. Reynolds, a Union Army general who served during the American Civil War.
-
D.
John
John is the given name of John Alexander Logan, a prominent 19th-century American Civil War general and influential politician.
-
E.
John
John is the given name of John Bell Hood, a Confederate general known for his aggressive command during the American Civil War.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8294e0fe08190b018e840146e27ca |
completed | April 9, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e8e371948190a37609aad75a4bfd |
completed | April 20, 2026, 8:50 a.m. |
| NEDg | Description generation | batch_69e5f15b37c8819083d9275ceb7b3806 |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f89dd4bc8190b0cccab8414a03aa |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 8, 2026, 9:36 p.m.