Triple
T20060666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derek Haas |
E499462
|
entity |
| Predicate | educatedAt |
P5
|
FINISHED |
| Object | Baylor University |
—
|
NE NERFINISHED |
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: Baylor University | Statement: [Derek Haas, educatedAt, Baylor University]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baylor University Context triple: [Derek Haas, educatedAt, Baylor University]
-
A.
Baylor University
chosen
Baylor University is a private Christian research university in Waco, Texas, known for its strong academic programs and prominent athletics in the Big 12 Conference.
-
B.
Baylor
Baylor is a surname most notably associated with American baseball player and manager Don Baylor.
-
C.
Texas Christian University
Texas Christian University is a private Christian research university known for its strong academic programs and prominent athletics, located in Fort Worth, Texas.
-
D.
University of Mary Hardin–Baylor
The University of Mary Hardin–Baylor is a private Christian university in Texas known for its liberal arts education and strong nursing and education programs.
-
E.
Texas Tech University
Texas Tech University is a public research university in Lubbock, Texas, known for its strong athletics programs and comprehensive offerings in engineering, business, and agricultural sciences.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6637601dc8190a07fc20844093cb7 |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:38 p.m.