Triple
T10039695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clemons |
E205261
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Clemenson |
E94464
|
NE 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: Clemenson | Statement: [Clemons, hasVariant, Clemenson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clemenson Context triple: [Clemons, hasVariant, Clemenson]
-
A.
Clemson University
chosen
Clemson University is a major public research university in Clemson, South Carolina, known for its strong engineering and science programs and prominent NCAA Division I athletic teams.
-
B.
Clemson, South Carolina
Clemson, South Carolina is a small college town in the northwestern part of the state, best known as the home of Clemson University and its prominent athletic and research programs.
-
C.
University of South Carolina
The University of South Carolina is a major public research university in Columbia, South Carolina, known for its comprehensive academic programs and prominent NCAA Division I athletics.
-
D.
Tappitt
Tappitt is a surname associated with the individual referred to as Mr. Tappitt.
-
E.
Wofford
Wofford is the birth surname of Nobel Prize–winning American novelist Toni Morrison.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca834f70e88190b2d74828b7767ec1 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcee186708190bc9fecd637b4f7e6 |
completed | April 2, 2026, 2:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d28268ab648190a565472d00b289c2 |
completed | April 5, 2026, 3:40 p.m. |
Created at: March 30, 2026, 8:55 p.m.