Triple
T5933484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Danone |
E131990
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Activia
Activia is a popular probiotic yogurt brand known for supporting digestive health, produced and marketed by Danone.
|
E555224
|
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: Activia | Statement: [Danone, hasBrand, Activia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Activia Context triple: [Danone, hasBrand, Activia]
-
A.
Danone
Danone is a multinational French food-products corporation best known for its dairy, plant-based, and bottled water brands.
-
B.
Milk
Milk is a 2008 biographical film about gay rights activist and politician Harvey Milk, directed by Gus Van Sant and starring Sean Penn.
-
C.
Milch
Milch is a German surname most notably borne by Erhard Milch, a high-ranking Luftwaffe officer during World War II.
-
D.
Parmalim
Parmalim is an indigenous Batak spiritual tradition from North Sumatra that centers on ancestral worship, reverence for nature, and devotion to a single supreme deity.
-
E.
Fanta
Fanta is a globally popular fruit-flavored soft drink brand known for its bright colors and wide variety of flavors.
- 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: Activia Triple: [Danone, hasBrand, Activia]
Generated description
Activia is a popular probiotic yogurt brand known for supporting digestive health, produced and marketed by Danone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Activia Target entity description: Activia is a popular probiotic yogurt brand known for supporting digestive health, produced and marketed by Danone.
-
A.
Danone
Danone is a multinational French food-products corporation best known for its dairy, plant-based, and bottled water brands.
-
B.
Milk
Milk is a 2008 biographical film about gay rights activist and politician Harvey Milk, directed by Gus Van Sant and starring Sean Penn.
-
C.
Milch
Milch is a German surname most notably borne by Erhard Milch, a high-ranking Luftwaffe officer during World War II.
-
D.
Parmalim
Parmalim is an indigenous Batak spiritual tradition from North Sumatra that centers on ancestral worship, reverence for nature, and devotion to a single supreme deity.
-
E.
Fanta
Fanta is a globally popular fruit-flavored soft drink brand known for its bright colors and wide variety of flavors.
- 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.