Triple
T13748840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Said Date |
E330287
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Baby Dooks
Baby Dooks is a music producer known for his work in hip-hop and related genres.
|
E1060433
|
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: Baby Dooks | Statement: [No Said Date, producer, Baby Dooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baby Dooks Context triple: [No Said Date, producer, Baby Dooks]
-
A.
Doozer
Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
-
B.
Doo-Dah
Doo-Dah is a quirky, affectionate nickname used by locals to refer to the city of Wichita, Kansas.
-
C.
Gogo Dodo
Gogo Dodo is a zany, surreal cartoon character from the Tiny Toon Adventures series, known for his reality-bending antics and residence in the bizarre world of Wackyland.
-
D.
Roobaroo
"Roobaroo" is a popular, upbeat Hindi song from the acclaimed Indian film "Rang De Basanti," known for its inspirational lyrics and contemporary rock-influenced sound.
-
E.
Monkey-Doodle-Doo
"Monkey-Doodle-Doo" is a lively novelty song featured in the Marx Brothers' 1929 film and stage musical *The Cocoanuts*.
- 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: Baby Dooks Triple: [No Said Date, producer, Baby Dooks]
Generated description
Baby Dooks is a music producer known for his work in hip-hop and related genres.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Baby Dooks Target entity description: Baby Dooks is a music producer known for his work in hip-hop and related genres.
-
A.
Doozer
Doozer is a television production company founded by Bill Lawrence, best known for producing series such as Scrubs, Cougar Town, and Ted Lasso.
-
B.
Doo-Dah
Doo-Dah is a quirky, affectionate nickname used by locals to refer to the city of Wichita, Kansas.
-
C.
Gogo Dodo
Gogo Dodo is a zany, surreal cartoon character from the Tiny Toon Adventures series, known for his reality-bending antics and residence in the bizarre world of Wackyland.
-
D.
Roobaroo
"Roobaroo" is a popular, upbeat Hindi song from the acclaimed Indian film "Rang De Basanti," known for its inspirational lyrics and contemporary rock-influenced sound.
-
E.
Monkey-Doodle-Doo
"Monkey-Doodle-Doo" is a lively novelty song featured in the Marx Brothers' 1929 film and stage musical *The Cocoanuts*.
- 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_69d81c573f288190aa2403d484fa3d49 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02132a108190aca728b95e83af01 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7a854098c8190983d142c9930962b |
completed | May 3, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69f7ac78ef5081909caccd2fc5772f24 |
completed | May 3, 2026, 8:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7ad51c6808190afa80fc3622399bf |
completed | May 3, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:08 p.m.