Triple
T28153178
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TR35 award |
E714675
|
entity |
| Predicate | typicalAwardee |
P58949
|
FINISHED |
| Object | researcher |
—
|
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: researcher | Statement: [TR35 award, typicalAwardee, researcher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalAwardee Context triple: [TR35 award, typicalAwardee, researcher]
-
A.
typicalAwardedBy
Indicates the usual or standard agent (such as a person or organization) that confers or grants a particular award.
-
B.
typicalLaureateType
Indicates the usual or most common type or category of laureate associated with something.
-
C.
typicalHonoree
chosen
Indicates that an entity is the usual or characteristic recipient of an honor, award, or recognition associated with another entity.
-
D.
recipientOfAward
Indicates that an entity has received or been granted a particular award.
-
E.
typicalAwardType
Indicates the usual or most common type or category of award associated with a given entity or context.
- 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_69efd6b033208190bf74f80a147e2092 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_6a006be462288190ae18e1567e2ad29f |
completed | May 10, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_6a0069e7a424819098d38458c3823605 |
completed | May 10, 2026, 11:20 a.m. |
Created at: April 27, 2026, 10 p.m.