Triple
T1231253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honey |
E26446
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Ronald G. Brown
Ronald G. Brown is an author known for writing the work titled "Honey."
|
E166989
|
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: Ronald G. Brown | Statement: [Honey, writer, Ronald G. Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronald G. Brown Context triple: [Honey, writer, Ronald G. Brown]
-
A.
James Nourse
James Nourse was an 18th-century British sea captain involved in the transatlantic slave trade.
-
B.
Joseph W. Martin Jr.
Joseph W. Martin Jr. was an American Republican politician from Massachusetts who served as Speaker of the U.S. House of Representatives and was a prominent congressional leader in the mid-20th century.
-
C.
Dennis J. Picard
Dennis J. Picard was a prominent engineer and leader in radar technology whose contributions to the field led the IEEE to name its prestigious Medal for Radar Technologies and Applications in his honor.
-
D.
John K. Minasian
John K. Minasian was an American structural engineer best known for helping design Seattle’s iconic Space Needle.
-
E.
Thomas N. Margulis
Thomas N. Margulis is known primarily as the former husband of renowned evolutionary biologist Lynn Margulis.
- 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: Ronald G. Brown Triple: [Honey, writer, Ronald G. Brown]
Generated description
Ronald G. Brown is an author known for writing the work titled "Honey."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ronald G. Brown Target entity description: Ronald G. Brown is an author known for writing the work titled "Honey."
-
A.
James Nourse
James Nourse was an 18th-century British sea captain involved in the transatlantic slave trade.
-
B.
Joseph W. Martin Jr.
Joseph W. Martin Jr. was an American Republican politician from Massachusetts who served as Speaker of the U.S. House of Representatives and was a prominent congressional leader in the mid-20th century.
-
C.
Dennis J. Picard
Dennis J. Picard was a prominent engineer and leader in radar technology whose contributions to the field led the IEEE to name its prestigious Medal for Radar Technologies and Applications in his honor.
-
D.
John K. Minasian
John K. Minasian was an American structural engineer best known for helping design Seattle’s iconic Space Needle.
-
E.
Thomas N. Margulis
Thomas N. Margulis is known primarily as the former husband of renowned evolutionary biologist Lynn Margulis.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be5a25348190a0665b6324c4d8f5 |
completed | March 1, 2026, 10:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad0e5dd8148190a209257ee29969dd |
completed | March 8, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69ad0ed1fb608190a9295808e144d0fb |
completed | March 8, 2026, 5:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad0f90cdec81908a981e12184cdd75 |
completed | March 8, 2026, 5:56 a.m. |
Created at: March 1, 2026, 7:47 p.m.