Triple
T16022270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. P. Harrington |
E388630
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given first name of J. P. Harrington, an American ethnologist and linguist known for his extensive documentation of Native American languages and cultures.
|
E1189788
|
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: [J. P. Harrington, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [J. P. Harrington, givenName, John]
-
A.
John
John Vassall Jr. was a British civil servant who became notorious as a Soviet spy during the Cold War.
-
B.
John
John is the given name of John W. Mauchly, the American physicist and co-inventor of the ENIAC computer.
-
C.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
D.
John
John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
-
E.
John
John Ross is a personal name shared by various notable individuals across history, including leaders, politicians, and public figures.
- 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: [J. P. Harrington, givenName, John]
Generated description
John is the given first name of J. P. Harrington, an American ethnologist and linguist known for his extensive documentation of Native American languages and cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given first name of J. P. Harrington, an American ethnologist and linguist known for his extensive documentation of Native American languages and cultures.
-
A.
John
John is the given name of Dr. John C. Traphagan, an academic known for his work in anthropology and Japanese studies.
-
B.
John
John is the given name of the historian J. F. C. Harrison, known for his work on British social and intellectual history.
-
C.
John
John is the given name of John Hopfield, an American physicist and neuroscientist known for pioneering work on Hopfield networks in artificial intelligence.
-
D.
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.
-
E.
John
John is the given name of the American chemist John F. Hartwig, renowned for his pioneering work in organometallic chemistry and catalysis.
- 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_69d86dabcb7c8190b6a39d6831d2fa1b |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18323fc0881908bab7126d9ccf67d |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf2f7c4c8190b1290ac28aad8cd0 |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd065cb948190b0ad7e89a12ce535 |
completed | May 10, 2026, 12:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd1a52de08190a7b283af83be1f42 |
completed | May 10, 2026, 12:30 a.m. |
Created at: April 10, 2026, 4:55 a.m.