Triple
T20880062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Coffee Hays |
E514120
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of John Coffee Hays, a famed 19th-century Texas Ranger and military officer in the United States.
|
E1457273
|
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 Coffee Hays, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Coffee Hays, givenName, John]
-
A.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
B.
John
John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
-
C.
John
John is the middle name of Samuel John Mills, an American Congregationalist minister known for his role in early 19th-century missionary movements.
-
D.
John
John is the given first name of Australian actor Chips Rafferty, a prominent figure in mid-20th-century Australian cinema.
-
E.
John
John is the given name of John Romita Sr., the influential American comic book artist best known for his work on Marvel's The Amazing Spider-Man.
- 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 Coffee Hays, givenName, John]
Generated description
John is the given name of John Coffee Hays, a famed 19th-century Texas Ranger and military officer in the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of John Coffee Hays, a famed 19th-century Texas Ranger and military officer in the United States.
-
A.
John
John is the given name of John H. Reagan, a prominent 19th-century American politician who served as a Confederate postmaster general and later as a U.S. congressman and senator from Texas.
-
B.
John
John is the given name of John E. Wool, a prominent 19th-century United States Army officer and Mexican–American War general.
-
C.
John
John is the given name of John Bell Hood, a Confederate general known for his aggressive command 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 F. Reynolds, a Union Army general who served 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67974348190bd3484032c0d7b31 |
completed | April 21, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a091fb7de50819098e0ef8299156950 |
completed | May 17, 2026, 1:54 a.m. |
| NEDg | Description generation | batch_6a092016cc588190a41a0f05cc2afbb4 |
completed | May 17, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0920b3dfac8190a12229c81663b324 |
completed | May 17, 2026, 1:58 a.m. |
Created at: April 16, 2026, 12:45 p.m.