Triple
T33205958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | carbamazepine |
E850013
|
entity |
| Predicate | hasCommonBrandName |
P40804
|
FINISHED |
| Object | Tegretol |
E850013
|
NE 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: Tegretol | Statement: [carbamazepine, hasCommonBrandName, Tegretol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommonBrandName Context triple: [carbamazepine, hasCommonBrandName, Tegretol]
-
A.
hasBrandName
chosen
Indicates that an entity is associated with or identified by a specific brand name.
-
B.
containsComponentBrand
Indicates that an entity includes, as part of its composition or structure, a component produced or branded by a specified brand.
-
C.
usesSameBrandFamilyAs
Indicates that two entities use products or services belonging to the same overarching brand family or brand portfolio.
-
D.
hasCivilBrandName
Indicates that an entity is associated with a commercial or civilian brand name under which it is publicly known or marketed.
-
E.
hasBrandForm
Indicates that one entity is a specific branded form or commercial variant of another entity.
- F. None of above.
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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a352fc6c310819094904da54c9e7a13 |
completed | June 19, 2026, 12:02 p.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:30 a.m.