Triple
T18375748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meaney |
E446307
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
John Meaney
John Meaney is a British science fiction author known for his technologically rich, philosophically infused novels that blend hard science with noir and cyberpunk elements.
|
E1324651
|
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 Meaney | Statement: [Meaney, hasNotableBearer, John Meaney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Meaney Context triple: [Meaney, hasNotableBearer, John Meaney]
-
A.
Thomas Keenan
Thomas Keenan is a name shared by several notable individuals, including scholars, writers, and public figures across various fields.
-
B.
Tim O'Connor
Tim O'Connor is a New Zealand educational leader best known for serving as rector of the prestigious Auckland Grammar School.
-
C.
Joe Sweeney
Joe Sweeney is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts.
-
D.
Kevin Rooney
Kevin Rooney is an American boxing trainer best known for coaching Mike Tyson during his rise to the heavyweight championship in the 1980s.
-
E.
Brian Sweeney
Brian Sweeney is a relatively common personal name shared by multiple individuals, including professionals in fields such as sports, business, and the arts.
- 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 Meaney Triple: [Meaney, hasNotableBearer, John Meaney]
Generated description
John Meaney is a British science fiction author known for his technologically rich, philosophically infused novels that blend hard science with noir and cyberpunk elements.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Meaney Target entity description: John Meaney is a British science fiction author known for his technologically rich, philosophically infused novels that blend hard science with noir and cyberpunk elements.
-
A.
Thomas Keenan
Thomas Keenan is a name shared by several notable individuals, including scholars, writers, and public figures across various fields.
-
B.
Tim O'Connor
Tim O'Connor is a New Zealand educational leader best known for serving as rector of the prestigious Auckland Grammar School.
-
C.
Joe Sweeney
Joe Sweeney is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts.
-
D.
Kevin Rooney
Kevin Rooney is an American boxing trainer best known for coaching Mike Tyson during his rise to the heavyweight championship in the 1980s.
-
E.
Brian Sweeney
Brian Sweeney is a relatively common personal name shared by multiple individuals, including professionals in fields such as sports, business, and the arts.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51759353481908aa2de599fd2cf3b |
completed | April 19, 2026, 5:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a040fd060ac819085c23e931203ec3d |
completed | May 13, 2026, 5:44 a.m. |
| NEDg | Description generation | batch_6a0410995964819093a16a750fd81319 |
completed | May 13, 2026, 5:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04110bce308190b2c6f0c78708b84d |
completed | May 13, 2026, 5:50 a.m. |
Created at: April 10, 2026, 10:45 a.m.