Triple
T4038161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Steenbock |
E83876
|
entity |
| Predicate | appliedResearchOn |
P24329
|
FINISHED |
| Object | fortification of milk with vitamin D |
—
|
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: fortification of milk with vitamin D | Statement: [Harry Steenbock, appliedResearchOn, fortification of milk with vitamin D]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliedResearchOn Context triple: [Harry Steenbock, appliedResearchOn, fortification of milk with vitamin D]
-
A.
publishedResearchOn
Indicates that an entity has authored and made publicly available scholarly or scientific work concerning a particular subject or topic.
-
B.
usedResearchFrom
Indicates that one entity based its work, findings, or outputs on research conducted or provided by another entity.
-
C.
supportedResearch
Indicates that one entity provided assistance, resources, or backing to enable or advance the research activities of another entity.
-
D.
researchArm
Indicates that an entity is a specific study group or treatment arm within a research or clinical trial design.
-
E.
researchTopic
chosen
Indicates that a subject conducts or focuses research on a particular topic or area of study.
- 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_69aed92f7cf0819098e0539bdcc3767f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb3656f08190aa5286d951013646 |
completed | March 9, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69aef900386481909d04555a9ec9b0e3 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:37 p.m.