Triple
T7026389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Maynard Smith |
E162957
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of the influential British evolutionary biologist and geneticist John Maynard Smith.
|
E638213
|
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 Maynard Smith, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Maynard Smith, givenName, John]
-
A.
John
John is the given name of John H. Hammond Jr., the influential American record producer and talent scout known for discovering and promoting numerous major jazz, blues, and rock musicians.
-
B.
John
John is the given name of John F. Sattler, likely referring to him in a more informal or abbreviated context.
-
C.
John
John is the given name of John Murray, 3rd Duke of Atholl, an 18th-century Scottish nobleman and peer.
-
D.
John
John is the given name of John Hersey, the American writer and journalist renowned for his groundbreaking reportage on the aftermath of the Hiroshima bombing.
-
E.
John
John is the given name of Sir John Borlase Warren, a prominent British naval officer and politician of the late 18th and early 19th centuries.
- 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 Maynard Smith, givenName, John]
Generated description
John is the given name of the influential British evolutionary biologist and geneticist John Maynard Smith.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of the influential British evolutionary biologist and geneticist John Maynard Smith.
-
A.
John
John is the given name of the renowned British mathematician John H. Conway, known for his work in group theory, number theory, and the invention of the Game of Life.
-
B.
John
John is the given name of the British biochemist and crystallographer John Kendrew, a Nobel laureate known for determining the structure of myoglobin.
-
C.
John
John is the given name of the influential English philosopher John Locke, a key figure in empiricism and liberal political theory.
-
D.
John
John is the given name of John McCarthy, the American computer scientist who coined the term "artificial intelligence" and was a pioneer in the field.
-
E.
John
John is the given name of the Scottish mathematician and geologist John Playfair, known for his work on geometry and for popularizing James Hutton’s theories of geology.
- 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_69c6885b26248190a857541e3d10e299 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fd6ab48190865271e16e8ff669 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7884537708190a35d6988b1fa9b15 |
completed | March 28, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69c7894fb0448190a25c5bef8c2a5614 |
completed | March 28, 2026, 7:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c78a40bc008190ae8a57bc6f029a6c |
completed | March 28, 2026, 7:58 a.m. |
Created at: March 27, 2026, 2:35 p.m.