Triple
T13933098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Keynote Speaker |
E335040
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Leaf Dog
Leaf Dog is a British hip-hop producer and rapper known for his work with the group The Four Owls and his soulful, sample-heavy boom-bap sound.
|
E1069904
|
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: Leaf Dog | Statement: [The Keynote Speaker, producer, Leaf Dog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leaf Dog Context triple: [The Keynote Speaker, producer, Leaf Dog]
-
A.
Dog Eat Dog
Dog Eat Dog is a 1985 studio album by Canadian singer-songwriter Joni Mitchell that marked a shift toward more synthesizer-driven, politically charged music in her catalog.
-
B.
Dog Eat Dog
"Dog Eat Dog" is a hard-driving rock song by AC/DC featured on their 1977 album *Let There Be Rock*.
-
C.
Mad Dog
Mad Dog is the vicious outlaw gunslinger and primary antagonist in the 1885 segment of the film "Back to the Future Part III."
-
D.
Black Dogs
"Black Dogs" is a 1992 novel by Ian McEwan that explores the aftermath of World War II and the clash between rationalism and spiritual belief through the story of a troubled marriage.
-
E.
Mad Dogs
Mad Dogs is a British dark comedy-drama television series about a group of middle-aged friends whose holiday in Spain spirals into crime and chaos.
- 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: Leaf Dog Triple: [The Keynote Speaker, producer, Leaf Dog]
Generated description
Leaf Dog is a British hip-hop producer and rapper known for his work with the group The Four Owls and his soulful, sample-heavy boom-bap sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leaf Dog Target entity description: Leaf Dog is a British hip-hop producer and rapper known for his work with the group The Four Owls and his soulful, sample-heavy boom-bap sound.
-
A.
Dog Eat Dog
Dog Eat Dog is a 1985 studio album by Canadian singer-songwriter Joni Mitchell that marked a shift toward more synthesizer-driven, politically charged music in her catalog.
-
B.
Dog Eat Dog
"Dog Eat Dog" is a hard-driving rock song by AC/DC featured on their 1977 album *Let There Be Rock*.
-
C.
Mad Dog
Mad Dog is the vicious outlaw gunslinger and primary antagonist in the 1885 segment of the film "Back to the Future Part III."
-
D.
Black Dogs
"Black Dogs" is a 1992 novel by Ian McEwan that explores the aftermath of World War II and the clash between rationalism and spiritual belief through the story of a troubled marriage.
-
E.
Mad Dogs
Mad Dogs is a British dark comedy-drama television series about a group of middle-aged friends whose holiday in Spain spirals into crime and chaos.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf28df081908d897d7b9ec7939d |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce865ab4819088221189344b3801 |
completed | May 3, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69f9fd5b82f48190b0b89ddca25883cc |
completed | May 5, 2026, 2:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f9fea0a9dc8190b5b65dfec9626949 |
completed | May 5, 2026, 2:28 p.m. |
Created at: April 9, 2026, 10:17 p.m.