Triple
T17745369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Penn State Lady Lions basketball |
E442972
|
entity |
| Predicate | RenePortlandTenureStart |
P128836
|
FINISHED |
| Object | 1980 |
—
|
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: 1980 | Statement: [Penn State Lady Lions basketball, RenePortlandTenureStart, 1980]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: RenePortlandTenureStart Context triple: [Penn State Lady Lions basketball, RenePortlandTenureStart, 1980]
-
A.
Guy RouxTenure
Indicates the period during which Guy Roux held a particular position or role, typically as a coach or manager of a team or organization.
-
B.
Neale HanveyTermStart
Indicates the date or time period when Neale Hanvey began his term in a particular office or position.
-
C.
notableHostTenure
Indicates that an entity is recognized for having a significant or distinguished period of serving as a host of something (e.g., a show, event, or program).
-
D.
athleticDirectorTenureStart
Indicates the date or time when an individual begins serving as an athletic director for an organization or institution.
-
E.
cityDuringTenure
Indicates the city in which an entity was located or served during a specified person’s tenure in a role or position.
- F. None of above. chosen
Provenance (4 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad0c5b481909059bfa868cc4001 |
completed | April 19, 2026, 6:48 a.m. |
| PD | Predicate disambiguation | batch_69e3cde815e08190881972e2d80d151e |
completed | April 18, 2026, 6:31 p.m. |
| PDg | Predicate description generation | batch_69e3d37ab6988190bd326ea6f8dd4aaa |
completed | April 18, 2026, 6:54 p.m. |
Created at: April 10, 2026, 10:09 a.m.