Triple
T2159043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dangerously in Love |
E47959
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Mr. B
Mr. B is a music producer known for his work on Beyoncé’s debut solo album "Dangerously in Love."
|
E240598
|
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: Mr. B | Statement: [Dangerously in Love, producer, Mr. B]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. B Context triple: [Dangerously in Love, producer, Mr. B]
-
A.
Bernard
Bernard is a masculine given name of Old French and Germanic origin, historically borne by notable figures such as military leaders and saints.
-
B.
Mr. Skeffington
Mr. Skeffington is a 1944 drama film starring Bette Davis, known for its exploration of vanity, marriage, and personal transformation.
-
C.
Maurice
Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
-
D.
Maurice
Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
-
E.
Mr. C
Mr. C is the costumed mascot character representing the Commodores athletic teams.
- 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: Mr. B Triple: [Dangerously in Love, producer, Mr. B]
Generated description
Mr. B is a music producer known for his work on Beyoncé’s debut solo album "Dangerously in Love."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. B Target entity description: Mr. B is a music producer known for his work on Beyoncé’s debut solo album "Dangerously in Love."
-
A.
Bernard
Bernard is a masculine given name of Old French and Germanic origin, historically borne by notable figures such as military leaders and saints.
-
B.
Mr. Skeffington
Mr. Skeffington is a 1944 drama film starring Bette Davis, known for its exploration of vanity, marriage, and personal transformation.
-
C.
Maurice
Maurice is a masculine given name of Latin origin, commonly used in English and French-speaking countries.
-
D.
Maurice
Maurice is a 1987 British romantic drama film, based on E.M. Forster’s novel, that explores same-sex love and class in early 20th-century England.
-
E.
Mr. C
Mr. C is the costumed mascot character representing the Commodores athletic teams.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe6a412c8190ae632282650739d9 |
completed | March 7, 2026, 5:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58e796e88190a8d86979c7ff952f |
completed | March 9, 2026, 5:21 a.m. |
| NEDg | Description generation | batch_69ae5989f054819082f36e5515bec3ca |
completed | March 9, 2026, 5:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae5a10607881909849a72201399d62 |
completed | March 9, 2026, 5:26 a.m. |
Created at: March 4, 2026, 7:45 p.m.