Triple
T6271532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bojangles |
E140544
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Richard May
Richard May is a music producer known for his work on the track "Bojangles."
|
E613692
|
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: Richard May | Statement: [Bojangles, producer, Richard May]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard May Context triple: [Bojangles, producer, Richard May]
-
A.
William Ross
William Ross is an American composer, orchestrator, and conductor known for his work on numerous film scores and collaborations with major Hollywood productions.
-
B.
Richard Brown
Richard Brown is an American writer and illustrator best known as the husband and creative collaborator of author Reeve Lindbergh.
-
C.
Philip Woodruff
Philip Woodruff was the pen name of British civil servant Philip Mason, best known for his influential writings on the British Raj and the Indian Civil Service.
-
D.
David Graham
David Graham is a voice actor best known for narrating the iconic 1984 Super Bowl commercial that introduced Apple’s Macintosh computer.
-
E.
Robert M. May
Robert M. May was a prominent Australian theoretical ecologist and mathematical biologist known for his influential work on population dynamics, chaos theory in ecology, and the mathematical modeling of infectious diseases.
- 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: Richard May Triple: [Bojangles, producer, Richard May]
Generated description
Richard May is a music producer known for his work on the track "Bojangles."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Richard May Target entity description: Richard May is a music producer known for his work on the track "Bojangles."
-
A.
William Ross
William Ross is an American composer, orchestrator, and conductor known for his work on numerous film scores and collaborations with major Hollywood productions.
-
B.
Richard Brown
Richard Brown is an American writer and illustrator best known as the husband and creative collaborator of author Reeve Lindbergh.
-
C.
Philip Woodruff
Philip Woodruff was the pen name of British civil servant Philip Mason, best known for his influential writings on the British Raj and the Indian Civil Service.
-
D.
David Graham
David Graham is a voice actor best known for narrating the iconic 1984 Super Bowl commercial that introduced Apple’s Macintosh computer.
-
E.
Robert M. May
Robert M. May was a prominent Australian theoretical ecologist and mathematical biologist known for his influential work on population dynamics, chaos theory in ecology, and the mathematical modeling of infectious diseases.
- 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_69c008cabc4081909723e2547c9d6cc0 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063bb340c8190ab81b249cefa91ca |
completed | March 22, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7005e8c2c81909729f7ab3ae0287d |
completed | March 27, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69c7063ab9188190be0cd1eaac3b00be |
completed | March 27, 2026, 10:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c70698970c81908bd894882964ccec |
completed | March 27, 2026, 10:37 p.m. |
Created at: March 22, 2026, 4:25 p.m.