Triple
T34062245
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gus Coverly |
E873522
|
entity |
| Predicate | helpsEstablish |
P76723
|
FINISHED |
| Object | Thomasina Coverly’s mathematical genius |
—
|
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: Thomasina Coverly’s mathematical genius | Statement: [Gus Coverly, helpsEstablish, Thomasina Coverly’s mathematical genius]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsEstablish Context triple: [Gus Coverly, helpsEstablish, Thomasina Coverly’s mathematical genius]
-
A.
establishes
Indicates that one entity initiates, creates, or formally sets up another entity, relationship, or state, often giving it official or recognized status.
-
B.
helpsIn
Indicates that one entity provides assistance, support, or aid to another entity in performing or achieving a particular task, activity, or goal.
-
C.
helpsBuild
chosen
Indicates that one entity assists or contributes to the construction, creation, or development of another entity.
-
D.
helpedConnect
Indicates that one entity assisted in establishing or facilitating a connection or relationship between two or more other entities.
-
E.
establishesOrgan
Indicates that an entity creates, founds, or sets up an organization or institutional body.
- 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_69f349a4af208190afa14888f9c9fb9d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:52 a.m.