Triple
T24830940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philippa Fawcett |
E621336
|
entity |
| Predicate | TriposResult |
P154672
|
FINISHED |
| Object | placed above the Senior Wrangler in 1890 |
—
|
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: placed above the Senior Wrangler in 1890 | Statement: [Philippa Fawcett, TriposResult, placed above the Senior Wrangler in 1890]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TriposResult Context triple: [Philippa Fawcett, TriposResult, placed above the Senior Wrangler in 1890]
-
A.
admissionResult
Indicates the outcome or decision of an admission process for an applicant or entity.
-
B.
degreeOutcome
chosen
Indicates the academic qualification or result (such as a specific degree or classification) that is obtained as the outcome of a course of study or educational program.
-
C.
examPeriod
Indicates a time span during which examinations are scheduled to take place.
-
D.
matriculationYear
Indicates the calendar year in which an individual formally enrolled or was admitted into an educational program or institution.
-
E.
passesOnSubject
Indicates that one entity transfers or conveys a subject (such as information, responsibility, or an item) from itself to 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_69e2fac0c3b881909110e5a56c6fa46f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f43043512481909501a3979cac9947 |
completed | May 1, 2026, 4:46 a.m. |
| PD | Predicate disambiguation | batch_69f420fd375c81908ea4a4e60b76ee8f |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 5:15 a.m.