Triple
T9905850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quincy Jones III |
E185009
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object |
WeMash
WeMash is a digital media platform and company focused on enabling the licensing, remixing, and monetization of video content.
|
E828396
|
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: WeMash | Statement: [Quincy Jones III, founded, WeMash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WeMash Context triple: [Quincy Jones III, founded, WeMash]
-
A.
Brandy
Brandy is an American R&B singer, songwriter, and actress known for her distinctive vocal style and hits such as "The Boy Is Mine" and "Have You Ever?".
-
B.
Data Ganj Bakhsh
Data Ganj Bakhsh is a renowned 11th-century Persian Sufi saint and scholar, venerated especially in South Asia for his influential teachings and spiritual legacy.
-
C.
Juice & Gin
Juice & Gin is a laid-back, minimalist hip-hop track by Chicago rapper Valee, showcasing his signature understated flow and off-kilter delivery.
-
D.
Beers
Beers is a small village in the Dutch province of North Brabant, known for its rural character and location within the municipality of Land van Cuijk.
-
E.
Maza
Maza is a Spanish-language surname notably borne by Margarita Maza de Juárez, the wife of Mexican president Benito Juárez.
- 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: WeMash Triple: [Quincy Jones III, founded, WeMash]
Generated description
WeMash is a digital media platform and company focused on enabling the licensing, remixing, and monetization of video content.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WeMash Target entity description: WeMash is a digital media platform and company focused on enabling the licensing, remixing, and monetization of video content.
-
A.
Brandy
Brandy is an American R&B singer, songwriter, and actress known for her distinctive vocal style and hits such as "The Boy Is Mine" and "Have You Ever?".
-
B.
Data Ganj Bakhsh
Data Ganj Bakhsh is a renowned 11th-century Persian Sufi saint and scholar, venerated especially in South Asia for his influential teachings and spiritual legacy.
-
C.
Juice & Gin
Juice & Gin is a laid-back, minimalist hip-hop track by Chicago rapper Valee, showcasing his signature understated flow and off-kilter delivery.
-
D.
Beers
Beers is a small village in the Dutch province of North Brabant, known for its rural character and location within the municipality of Land van Cuijk.
-
E.
Maza
Maza is a Spanish-language surname notably borne by Margarita Maza de Juárez, the wife of Mexican president Benito Juárez.
- 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_69ca8296165881908ca4750701af1f29 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cdb50cf8808190a41e565216712704 |
completed | April 2, 2026, 12:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1eb316a188190a1c7fbe0d1997cf5 |
completed | April 5, 2026, 4:55 a.m. |
| NEDg | Description generation | batch_69d1ed2864108190bbeb2e38ff733773 |
completed | April 5, 2026, 5:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1edcf68c48190ba548c19042323fd |
completed | April 5, 2026, 5:06 a.m. |
Created at: March 30, 2026, 8:40 p.m.