Triple
T14588622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ron Johnson |
E342384
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Hillman College |
E340785
|
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: Hillman College | Statement: [Ron Johnson, setting, Hillman College]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hillman College Context triple: [Ron Johnson, setting, Hillman College]
-
A.
Hillman College
chosen
Hillman College is the fictional historically Black college featured in the television series "A Different World."
-
B.
Fairmount College
Fairmount College was the original private liberal arts institution that later evolved into Wichita State University in Wichita, Kansas.
-
C.
Beaver College
Beaver College was a private liberal arts institution in Pennsylvania that later became Arcadia University.
-
D.
Hillyer College
Hillyer College was a former independent institution of higher education that became one of the founding components of the University of Hartford.
-
E.
Five Towns College
Five Towns College is a private college on Long Island known for its programs in music, media, and the performing arts.
- 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_69d822ddc0f081909cd8163c7de298cd |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4237d88819097f3f9a40f5be152 |
completed | April 14, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cd952ec8190ae3013297e81309e |
completed | May 8, 2026, 4:18 p.m. |
Created at: April 10, 2026, 1:24 a.m.