Triple
T16123252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Robert Richardson |
E391197
|
entity |
| Predicate | helpsDevelop |
P76723
|
FINISHED |
| Object | Belinda McDonald’s communication skills |
—
|
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: Belinda McDonald’s communication skills | Statement: [Dr. Robert Richardson, helpsDevelop, Belinda McDonald’s communication skills]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsDevelop Context triple: [Dr. Robert Richardson, helpsDevelop, Belinda McDonald’s communication skills]
-
A.
helpsBuild
chosen
Indicates that one entity assists or contributes to the construction, creation, or development of another entity.
-
B.
helpsDesign
Indicates that one entity assists or contributes to another entity’s design or design process.
-
C.
developmentFor
Indicates that one entity is created, adapted, or advanced specifically for the benefit, use, or purpose of another entity.
-
D.
developmentPillar
Indicates that one entity serves as a fundamental pillar or core focus area supporting the development or growth of another entity.
-
E.
helpsProduce
Indicates that one entity contributes to or facilitates the creation, generation, or production of another entity.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2020342988190add65c784b8ee179 |
completed | April 17, 2026, 9:48 a.m. |
| PD | Predicate disambiguation | batch_69e1828518c48190a8ef3aaa46a1f639 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.