Triple
T788071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P. Diddy |
E16848
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Puffy
Puffy is the stage name formerly used by Sean "P. Diddy" Combs, the American rapper, producer, and music mogul.
|
E92924
|
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: Puffy | Statement: [P. Diddy, alsoKnownAs, Puffy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Puffy Context triple: [P. Diddy, alsoKnownAs, Puffy]
-
A.
Huff-Duff
Huff-Duff (high-frequency direction finding) was a World War II radio direction-finding technology used primarily by the Allies to locate enemy submarines and ships by tracking their radio transmissions.
-
B.
Huff
Huff is a surname most prominently associated with Sam Huff, a Hall of Fame American football linebacker who starred for the New York Giants and Washington in the NFL.
-
C.
Bündchen
Bündchen is the German-origin surname most famously borne by Brazilian supermodel Gisele Bündchen.
-
D.
Pinky
Pinky is a 1949 American drama film directed by Elia Kazan that explores race, identity, and passing in the segregated American South.
-
E.
Pijin
Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
- 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: Puffy Triple: [P. Diddy, alsoKnownAs, Puffy]
Generated description
Puffy is the stage name formerly used by Sean "P. Diddy" Combs, the American rapper, producer, and music mogul.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Puffy Target entity description: Puffy is the stage name formerly used by Sean "P. Diddy" Combs, the American rapper, producer, and music mogul.
-
A.
Huff-Duff
Huff-Duff (high-frequency direction finding) was a World War II radio direction-finding technology used primarily by the Allies to locate enemy submarines and ships by tracking their radio transmissions.
-
B.
Huff
Huff is a surname most prominently associated with Sam Huff, a Hall of Fame American football linebacker who starred for the New York Giants and Washington in the NFL.
-
C.
Bündchen
Bündchen is the German-origin surname most famously borne by Brazilian supermodel Gisele Bündchen.
-
D.
Pinky
Pinky is a 1949 American drama film directed by Elia Kazan that explores race, identity, and passing in the segregated American South.
-
E.
Pijin
Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
- 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_69a4936cb7448190914f5fe4b8d81607 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a782fe988190966b958673fe12bf |
completed | March 1, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a6733e47148190bad0ac71cf45dd85 |
completed | March 3, 2026, 5:35 a.m. |
| NEDg | Description generation | batch_69a673afbd308190863aea2ff0f650cb |
completed | March 3, 2026, 5:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a6743f50d0819089885836b9668466 |
completed | March 3, 2026, 5:40 a.m. |
Created at: March 1, 2026, 7:38 p.m.