Triple
T5933489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danone |
E131990
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Silk
Silk is a popular plant-based food and beverage brand known for its soy, almond, oat, and other non-dairy milk alternatives.
|
E555228
|
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: Silk | Statement: [Danone, hasBrand, Silk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silk Context triple: [Danone, hasBrand, Silk]
-
A.
Silk
Silk is a British legal drama television series centered on the personal and professional lives of barristers in London.
-
B.
Silken Floss
Silken Floss is a stylish and enigmatic femme fatale and scientist who serves as one of the main villains in the 2008 superhero film "The Spirit."
-
C.
Cotten
Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
-
D.
Arte della Seta
Arte della Seta was the powerful Florentine silk merchants’ and craftsmen’s guild that played a key role in the city’s medieval and Renaissance economy and luxury textile trade.
-
E.
Pashmina shawls
Pashmina shawls are luxurious, finely woven woolen wraps traditionally handcrafted from the soft undercoat of Himalayan goats, renowned for their exceptional warmth, lightness, and elegance.
- 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: Silk Triple: [Danone, hasBrand, Silk]
Generated description
Silk is a popular plant-based food and beverage brand known for its soy, almond, oat, and other non-dairy milk alternatives.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silk Target entity description: Silk is a popular plant-based food and beverage brand known for its soy, almond, oat, and other non-dairy milk alternatives.
-
A.
Silk
Silk is a British legal drama television series centered on the personal and professional lives of barristers in London.
-
B.
Silken Floss
Silken Floss is a stylish and enigmatic femme fatale and scientist who serves as one of the main villains in the 2008 superhero film "The Spirit."
-
C.
Cotten
Cotten is a surname most notably associated with American actor Joseph Cotten, a prominent figure in classic Hollywood cinema.
-
D.
Arte della Seta
Arte della Seta was the powerful Florentine silk merchants’ and craftsmen’s guild that played a key role in the city’s medieval and Renaissance economy and luxury textile trade.
-
E.
Pashmina shawls
Pashmina shawls are luxurious, finely woven woolen wraps traditionally handcrafted from the soft undercoat of Himalayan goats, renowned for their exceptional warmth, lightness, and elegance.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0389f6fc881909527b928838ffcdd |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c064d2a4819096085668182cfde1 |
completed | March 23, 2026, 4:24 a.m. |
| NEDg | Description generation | batch_69c0c109b3288190928dc4539a2872c2 |
completed | March 23, 2026, 4:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c1f6fe60819080a00976740b6a9c |
completed | March 23, 2026, 4:30 a.m. |
Created at: March 22, 2026, 4 p.m.