Triple
T29208856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Morrison |
E740491
|
entity |
| Predicate | scientificSpecialty |
P140458
|
FINISHED |
| Object | brain research |
—
|
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: brain research | Statement: [Albert Morrison, scientificSpecialty, brain research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scientificSpecialty Context triple: [Albert Morrison, scientificSpecialty, brain research]
-
A.
scientificElement
Indicates that one entity is a scientific component, factor, or aspect that plays a role within, or contributes to, the other entity in a scientific context.
-
B.
scientificResearch
Indicates that an entity conducts, participates in, or is the subject of systematic scientific investigation or study.
-
C.
subjectSpecialization
chosen
Indicates that one subject focuses on, or has expertise in, a particular field, topic, or area of knowledge.
-
D.
SCIType
Indicates a classification relationship where an entity is assigned a specific type or category within a scientific or structured information context.
-
E.
scienceDomain
Indicates that one entity is a field, branch, or domain within science to which the other entity is related or belongs.
- 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_69f07cb974108190b7e86ca489a6ebb6 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f67d3624248190a36a9b2d2e9778d4 |
completed | May 2, 2026, 10:39 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 28, 2026, 12:10 p.m.