Triple
T37697610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mucinex |
E938970
|
entity |
| Predicate | shouldBeTakenWith |
P189149
|
FINISHED |
| Object | a full glass of water |
—
|
LITERAL FINISHED |
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: a full glass of water | Statement: [Mucinex, shouldBeTakenWith, a full glass of water]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shouldBeTakenWith Context triple: [Mucinex, shouldBeTakenWith, a full glass of water]
-
A.
shouldBeUsedWhen
Indicates that one entity is recommended or appropriate to employ in the context, condition, or situation defined by another entity.
-
B.
takenAs
Indicates that one entity is regarded, used, or accepted in the role, capacity, or form of another entity.
-
C.
takenInBy
Indicates that one entity is absorbed, ingested, or otherwise brought inside and contained by another entity.
-
D.
pullsTogetherWith
Indicates that one entity exerts force or effort jointly with another to draw or move something toward a common point or direction.
-
E.
mustBeUsed
Indicates that one entity is required or obligated to be utilized or applied in relation to another entity or context.
- F. None of above. chosen
Provenance (4 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_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbb083ab708190a18b045311106f27 |
completed | May 6, 2026, 9:20 p.m. |
Created at: May 3, 2026, 4:18 p.m.