Triple
T6091413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Stanford Review |
E135773
|
entity |
| Predicate | hasContributorBackground |
P15585
|
FINISHED |
| Object | students who later enter technology industry |
—
|
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: students who later enter technology industry | Statement: [The Stanford Review, hasContributorBackground, students who later enter technology industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasContributorBackground Context triple: [The Stanford Review, hasContributorBackground, students who later enter technology industry]
-
A.
hasFounderBackground
Indicates that an entity has a founder whose background (such as experience, education, or prior roles) matches a specified profile or characteristic.
-
B.
hasAcademicBackgroundIn
Indicates that an entity possesses formal education, training, or scholarly experience in a specified academic field or discipline.
-
C.
hasBackground
chosen
Indicates that an entity possesses or is associated with a particular background, such as context, setting, or prior circumstances.
-
D.
hasContributionFrom
Indicates that something (such as a work, project, or outcome) is created, influenced, or supported in part by a specified contributor.
-
E.
candidateBackground
Indicates that there is information or context describing a candidate’s prior experience, qualifications, or history.
- 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_69c0087bcc788190b20f093d3a6c60ec |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c057ab7324819086d4708e6f9391c0 |
completed | March 22, 2026, 8:57 p.m. |
| PD | Predicate disambiguation | batch_69c049f3b1ec8190bea67a7bec6442a5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:12 p.m.