Triple
T12058762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carpobrotus |
E287109
|
entity |
| Predicate | describedBy |
P264
|
FINISHED |
| Object |
Nicholas Edward Brown
Nicholas Edward Brown was a British botanist known for his extensive work on succulent plants and contributions to the taxonomy of the Aizoaceae family.
|
E962034
|
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: Nicholas Edward Brown | Statement: [Carpobrotus, describedBy, Nicholas Edward Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Edward Brown Context triple: [Carpobrotus, describedBy, Nicholas Edward Brown]
-
A.
Nicholas Brown Jr.
Nicholas Brown Jr. was an American merchant, philanthropist, and namesake benefactor of Brown University in Providence, Rhode Island.
-
B.
O. Nicholas Brown
O. Nicholas Brown is an editor known for his work on the publication titled "The Accused."
-
C.
Michael Henry Brown
Michael Henry Brown is a screenwriter best known for his work on the crime thriller film "In Too Deep."
-
D.
Nicholas Proctor Brown
Nicholas Proctor Brown was a mountaineer known for making the first ascent of the Dent du Géant in the Mont Blanc massif of the Alps.
-
E.
Nicholas Browne
Nicholas Browne is the son of American actress Karen Allen, known for her roles in films such as "Raiders of the Lost Ark."
- 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: Nicholas Edward Brown Triple: [Carpobrotus, describedBy, Nicholas Edward Brown]
Generated description
Nicholas Edward Brown was a British botanist known for his extensive work on succulent plants and contributions to the taxonomy of the Aizoaceae family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nicholas Edward Brown Target entity description: Nicholas Edward Brown was a British botanist known for his extensive work on succulent plants and contributions to the taxonomy of the Aizoaceae family.
-
A.
Nicholas Brown Jr.
Nicholas Brown Jr. was an American merchant, philanthropist, and namesake benefactor of Brown University in Providence, Rhode Island.
-
B.
O. Nicholas Brown
O. Nicholas Brown is an editor known for his work on the publication titled "The Accused."
-
C.
Michael Henry Brown
Michael Henry Brown is a screenwriter best known for his work on the crime thriller film "In Too Deep."
-
D.
Nicholas Proctor Brown
Nicholas Proctor Brown was a mountaineer known for making the first ascent of the Dent du Géant in the Mont Blanc massif of the Alps.
-
E.
Nicholas Browne
Nicholas Browne is the son of American actress Karen Allen, known for her roles in films such as "Raiders of the Lost Ark."
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043dbccc8190bf9da181f826f0d8 |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49df216bc8190933e08f495f4d22f |
completed | May 1, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69f53d96c3f08190847ba49929b7628f |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564d2b4348190abf2d09ae00aea37 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.