Triple
T28422067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edwin N. Lightfoot |
E719964
|
entity |
| Predicate | notableStudentImpact |
P43375
|
FINISHED |
| Object | training generations of chemical engineers |
—
|
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: training generations of chemical engineers | Statement: [Edwin N. Lightfoot, notableStudentImpact, training generations of chemical engineers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableStudentImpact Context triple: [Edwin N. Lightfoot, notableStudentImpact, training generations of chemical engineers]
-
A.
notableStudent
Indicates that a person is a distinguished or particularly significant student of another individual or institution.
-
B.
notableImpactOn
Indicates that one entity has had a significant, recognizable, or influential effect on another entity.
-
C.
notableStudentOrBeneficiary
Indicates that one entity is a notable student or beneficiary (e.g., protégé, recipient of support) of another entity.
-
D.
notableStudentOrCircle
Indicates that there exists a notable student or intellectual circle associated with a given person or entity.
-
E.
notableStudentBodyAssociatedWith
chosen
Indicates that there is a significant or noteworthy group of students associated with a particular entity, such as an institution, organization, or program.
- 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_69eff6f1c5088190bc24bfbf92f9c017 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_6a0116ca6a1c81909a9e938dbe54eb8a |
completed | May 10, 2026, 11:37 p.m. |
| PD | Predicate disambiguation | batch_6a0116655e248190bdfe5b4bb4f1cf47 |
completed | May 10, 2026, 11:36 p.m. |
Created at: April 28, 2026, 1:34 a.m.