Triple
T15529787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sears brands |
E370181
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Bongo
Bongo is a fashion and lifestyle brand known for its trendy, youth-oriented clothing and accessories, historically sold through major U.S. retailers.
|
E1162544
|
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 | Statement: [Sears brands, hasBrand, Bongo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bongo Context triple: [Sears brands, hasBrand, Bongo]
-
A.
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.
-
B.
Dor Bongo
Dor Bongo is an alternative name for the Bongo language, a Central Sudanic language spoken primarily in South Sudan.
-
C.
Bongo–Bagirmi
Bongo–Bagirmi is a subgroup of Central Sudanic languages spoken primarily in parts of Central Africa, including Chad and neighboring regions.
-
D.
Chaka
"Chaka" is the 1978 debut solo album by American singer Chaka Khan, showcasing her blend of funk, soul, and R&B.
-
E.
Bata drums
Bata drums are a set of double-headed Yoruba drums traditionally used in religious ceremonies, especially in music for Orisha worship and masquerade performances.
- 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 Triple: [Sears brands, hasBrand, Bongo]
Generated description
Bongo is a fashion and lifestyle brand known for its trendy, youth-oriented clothing and accessories, historically sold through major U.S. retailers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bongo Target entity description: Bongo is a fashion and lifestyle brand known for its trendy, youth-oriented clothing and accessories, historically sold through major U.S. retailers.
-
A.
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.
-
B.
Dor Bongo
Dor Bongo is an alternative name for the Bongo language, a Central Sudanic language spoken primarily in South Sudan.
-
C.
Bongo–Bagirmi
Bongo–Bagirmi is a subgroup of Central Sudanic languages spoken primarily in parts of Central Africa, including Chad and neighboring regions.
-
D.
Chaka
"Chaka" is the 1978 debut solo album by American singer Chaka Khan, showcasing her blend of funk, soul, and R&B.
-
E.
Bata drums
Bata drums are a set of double-headed Yoruba drums traditionally used in religious ceremonies, especially in music for Orisha worship and masquerade performances.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414773548190b3311515f9d957dd |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d5b989c8190a76612df167ba1dd |
completed | May 9, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69ff3ea7d5ac81908bd1ee64de39dba7 |
completed | May 9, 2026, 2:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff413a68488190a6c8907e36a602dc |
completed | May 9, 2026, 2:14 p.m. |
Created at: April 10, 2026, 4:05 a.m.