Triple
T13027663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Strength of a Woman |
E326348
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Bongo ByTheWay
Bongo ByTheWay is an American record producer and songwriter known for his work in contemporary R&B and hip-hop with prominent artists across the industry.
|
E1016744
|
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: Bongo ByTheWay | Statement: [Strength of a Woman, producer, Bongo ByTheWay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bongo ByTheWay Context triple: [Strength of a Woman, producer, Bongo ByTheWay]
-
A.
Dor Bongo
Dor Bongo is an alternative name for the Bongo language, a Central Sudanic language spoken primarily in South Sudan.
-
B.
Conga
"Conga" is a 1985 Latin pop-dance hit by Gloria Estefan and Miami Sound Machine that popularized Latin rhythms in mainstream American pop music.
-
C.
Bongo
Bongo is an animated musical segment from Disney’s 1947 anthology film "Fun and Fancy Free," following the adventures of a circus bear who longs for freedom and love.
-
D.
Conga!
"Conga!" is a lively musical number from the 1953 Broadway musical *Wonderful Town*, known for its energetic Latin-inspired rhythm and ensemble choreography.
-
E.
Bip Bop
"Bip Bop" is a light, playful song by Paul McCartney from his 1971 album *Wild Life* with Wings.
- 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: Bongo ByTheWay Triple: [Strength of a Woman, producer, Bongo ByTheWay]
Generated description
Bongo ByTheWay is an American record producer and songwriter known for his work in contemporary R&B and hip-hop with prominent artists across the industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bongo ByTheWay Target entity description: Bongo ByTheWay is an American record producer and songwriter known for his work in contemporary R&B and hip-hop with prominent artists across the industry.
-
A.
Dor Bongo
Dor Bongo is an alternative name for the Bongo language, a Central Sudanic language spoken primarily in South Sudan.
-
B.
Conga
"Conga" is a 1985 Latin pop-dance hit by Gloria Estefan and Miami Sound Machine that popularized Latin rhythms in mainstream American pop music.
-
C.
Bongo
Bongo is an animated musical segment from Disney’s 1947 anthology film "Fun and Fancy Free," following the adventures of a circus bear who longs for freedom and love.
-
D.
Conga!
"Conga!" is a lively musical number from the 1953 Broadway musical *Wonderful Town*, known for its energetic Latin-inspired rhythm and ensemble choreography.
-
E.
Bip Bop
"Bip Bop" is a light, playful song by Paul McCartney from his 1971 album *Wild Life* with Wings.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97efc07488190a15f3e41ea2db45c |
completed | April 10, 2026, 10:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c12191b08190abf4123995116ebc |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c562d10c8190b76dbf50a0101bae |
completed | May 3, 2026, 3:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c635fc888190891a79da9d7984a0 |
completed | May 3, 2026, 3:51 a.m. |
Created at: April 9, 2026, 8:53 p.m.