Triple
T21482583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bourke’s Luck Potholes |
E530031
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Tom Bourke
Tom Bourke was a prospector after whom the South African geological attraction Bourke’s Luck Potholes is named.
|
E1491030
|
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: Tom Bourke | Statement: [Bourke’s Luck Potholes, namedAfter, Tom Bourke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Bourke Context triple: [Bourke’s Luck Potholes, namedAfter, Tom Bourke]
-
A.
Michael Bourke
Michael Bourke is a personal name shared by multiple individuals, including various professionals and public figures across different fields.
-
B.
Brian Bourke
Brian Bourke is an Irish painter and printmaker known for his expressive figurative works and contributions to contemporary Irish art.
-
C.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
D.
Tony Bourke
Tony Bourke is an individual notable enough to be recognized as a prominent bearer of the surname Bourke.
-
E.
Brendan Buckley
Brendan Buckley is a professional music producer and drummer best known for his work with major pop artists such as Shakira.
- 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: Tom Bourke Triple: [Bourke’s Luck Potholes, namedAfter, Tom Bourke]
Generated description
Tom Bourke was a prospector after whom the South African geological attraction Bourke’s Luck Potholes is named.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Bourke Target entity description: Tom Bourke was a prospector after whom the South African geological attraction Bourke’s Luck Potholes is named.
-
A.
Michael Bourke
Michael Bourke is a personal name shared by multiple individuals, including various professionals and public figures across different fields.
-
B.
Brian Bourke
Brian Bourke is an Irish painter and printmaker known for his expressive figurative works and contributions to contemporary Irish art.
-
C.
Andrew Duggan
Andrew Duggan was an American character actor known for his prolific work in film and television from the 1950s through the 1980s.
-
D.
Tony Bourke
Tony Bourke is an individual notable enough to be recognized as a prominent bearer of the surname Bourke.
-
E.
Brendan Buckley
Brendan Buckley is a professional music producer and drummer best known for his work with major pop artists such as Shakira.
- 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea34c4388190adc78d209d2aafb8 |
completed | April 23, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09f661c4fc819093ff40394a5c9b1a |
completed | May 17, 2026, 5:09 p.m. |
| NEDg | Description generation | batch_6a09f73f8988819094fa29f00b7487ad |
completed | May 17, 2026, 5:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09f79098e48190acdcad615098c55a |
completed | May 17, 2026, 5:14 p.m. |
Created at: April 16, 2026, 6:21 p.m.