Triple
T37545974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Even Better Clinical serum |
E933463
|
entity |
| Predicate | ophthalmologistTested |
P78590
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Even Better Clinical serum, ophthalmologistTested, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ophthalmologistTested Context triple: [Even Better Clinical serum, ophthalmologistTested, true]
-
A.
eyeCondition
Indicates that an entity has, experiences, or is characterized by a particular condition or disorder affecting the eyes.
-
B.
eyeAssociation
Indicates a relationship where one entity is associated with, linked to, or characterized by a particular eye or eye-related feature of another entity.
-
C.
examinedIn
chosen
Indicates that one entity is analyzed, inspected, or studied within the context, scope, or setting provided by another entity.
-
D.
coma
Indicates that an entity is in a state of prolonged unconsciousness and unresponsiveness, typically due to severe injury or illness.
-
E.
eyeFeatureObserved
Indicates that a specific characteristic or condition of the eye has been detected or recorded through observation.
- 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_69f76eca55bc8190acf25741793d5dac |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.