Triple
T13237963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ainley |
E315203
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
David Ainley
David Ainley is a marine ornithologist known for his extensive research on Antarctic and Southern Ocean seabirds and ecosystems.
|
E1028863
|
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: David Ainley | Statement: [Ainley, hasNotableBearer, David Ainley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Ainley Context triple: [Ainley, hasNotableBearer, David Ainley]
-
A.
Neil Hartley
Neil Hartley is a film and television producer known for his work on the adaptation of "The Go-Between."
-
B.
Don Airey
Don Airey is an English rock keyboardist best known for his work with Deep Purple and numerous other prominent hard rock and heavy metal acts.
-
C.
Anthony Rogers
Anthony Rogers is the original name of the science fiction hero later known as Buck Rogers, a World War I veteran who awakens in a technologically advanced future.
-
D.
Roy Marples
Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
-
E.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
- 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: David Ainley Triple: [Ainley, hasNotableBearer, David Ainley]
Generated description
David Ainley is a marine ornithologist known for his extensive research on Antarctic and Southern Ocean seabirds and ecosystems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Ainley Target entity description: David Ainley is a marine ornithologist known for his extensive research on Antarctic and Southern Ocean seabirds and ecosystems.
-
A.
Neil Hartley
Neil Hartley is a film and television producer known for his work on the adaptation of "The Go-Between."
-
B.
Don Airey
Don Airey is an English rock keyboardist best known for his work with Deep Purple and numerous other prominent hard rock and heavy metal acts.
-
C.
Anthony Rogers
Anthony Rogers is the original name of the science fiction hero later known as Buck Rogers, a World War I veteran who awakens in a technologically advanced future.
-
D.
Roy Marples
Roy Marples is a software engineer best known for his work on the OpenRC init system and various networking tools in the Linux and BSD ecosystems.
-
E.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d56da008190af55da3a9e7ffd4d |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff323a3c8190b46b24e69e653105 |
completed | May 3, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69f7013a368c8190a768f837f6551f5b |
completed | May 3, 2026, 8:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7038563848190ae96538e30ecafd5 |
completed | May 3, 2026, 8:12 a.m. |
Created at: April 9, 2026, 9:23 p.m.