Triple
T37697584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mucinex |
E938970
|
entity |
| Predicate | hasFormerManufacturer |
P25149
|
FINISHED |
| Object | Adams Respiratory Therapeutics |
—
|
NE NERFINISHED |
How this triple was built (2 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: Adams Respiratory Therapeutics | Statement: [Mucinex, hasFormerManufacturer, Adams Respiratory Therapeutics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerManufacturer Context triple: [Mucinex, hasFormerManufacturer, Adams Respiratory Therapeutics]
-
A.
formerManufacturer
chosen
Indicates that an entity previously manufactured another entity but no longer does so.
-
B.
hasManufacturerHistory
Indicates that there exists a record of past and/or current manufacturers associated with an entity, capturing changes or continuity in who produced it over time.
-
C.
hasFormerBrandOwner
Indicates that an entity was previously the owner of a particular brand, but no longer holds that ownership.
-
D.
usedManufacturer
Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
-
E.
formerBrand
Indicates that an entity was previously used or recognized as a brand for another entity but is no longer its current brand.
- F. None of above.
Provenance (3 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_69f76eda6ae48190b3111071eeacc038 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fec5c503808190bde0b1829ea43071 |
completed | May 9, 2026, 5:27 a.m. |
| PD | Predicate disambiguation | batch_69fec535dd6c8190a6ab85201f5a04a9 |
completed | May 9, 2026, 5:25 a.m. |
Created at: May 3, 2026, 4:18 p.m.