Triple
T11747176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir John Parker |
E279313
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of Sir John Parker, a prominent British businessman and industrialist known for leading several major UK companies.
|
E279313
|
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: [Sir John Parker, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [Sir John Parker, 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 middle name of Samuel John Mills, an American Congregationalist minister known for his role in early 19th-century missionary movements.
-
C.
John
John is the given first name of the 19th-century English theologian and social reformer Frederick Denison Maurice.
-
D.
John
John is the given name of John Eales, the renowned former Australian rugby union captain and World Cup winner.
-
E.
John
John is the common given name of American author and YouTube creator John Green, known for novels like "The Fault in Our Stars" and for co-founding the Vlogbrothers channel.
- 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: [Sir John Parker, givenName, John]
Generated description
John is the given name of Sir John Parker, a prominent British businessman and industrialist known for leading several major UK companies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of Sir John Parker, a prominent British businessman and industrialist known for leading several major UK companies.
-
A.
John
chosen
John is the given name of Sir John Parker, a prominent British businessman and industrialist known for leading several major UK companies.
-
B.
John
John is the given name of Sir John Anderson, a British civil servant and politician who played a key role in government during the early 20th century.
-
C.
John
John is the given name of John Henry Patterson, an American industrialist and founder of the National Cash Register Company.
-
D.
John
John is the given name of Sir John Fowler, a prominent 19th-century British civil engineer known for major railway and bridge projects such as the Forth Bridge.
-
E.
John
John is the given name of Lord Palmerston, the 19th-century British statesman who served twice as Prime Minister of the United Kingdom.
- F. None of above.
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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50763a081908597da118bd0a64e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0902f8c448190a71512353788ef09 |
completed | April 28, 2026, 10:47 a.m. |
| NEDg | Description generation | batch_69f0bd36673881908530b68e496c3d2e |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0eec1f5d081908624fe2a93995fe5 |
completed | April 28, 2026, 5:30 p.m. |
Created at: April 8, 2026, 9:41 p.m.