Triple
T18035692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Furman |
E431501
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object |
Furman
Furman is a surname of various notable individuals, including figures in politics, law, academia, and the arts.
|
E1302442
|
NE FINISHED |
How this triple was built (4 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: Furman | Statement: [Roy Furman, hasFamilyName, Furman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Furman Context triple: [Roy Furman, hasFamilyName, Furman]
-
A.
Furman University
Furman University is a private liberal arts university known for its rigorous academics and picturesque campus in Greenville, South Carolina.
-
B.
Wofford
Wofford is the birth surname of Nobel Prize–winning American novelist Toni Morrison.
-
C.
Wake Forest
Wake Forest is a town in North Carolina that forms part of the greater Research Triangle region anchored by Raleigh, Durham, and Chapel Hill.
-
D.
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.
-
E.
Clemson University
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Furman Triple: [Roy Furman, hasFamilyName, Furman]
Generated description
Furman is a surname of various notable individuals, including figures in politics, law, academia, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Furman Target entity description: Furman is a surname of various notable individuals, including figures in politics, law, academia, and the arts.
-
A.
Furman University
Furman University is a private liberal arts university known for its rigorous academics and picturesque campus in Greenville, South Carolina.
-
B.
Wofford
Wofford is the birth surname of Nobel Prize–winning American novelist Toni Morrison.
-
C.
Wake Forest
Wake Forest is a town in North Carolina that forms part of the greater Research Triangle region anchored by Raleigh, Durham, and Chapel Hill.
-
D.
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.
-
E.
Clemson University
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.
- F. None of above. chosen
Provenance (5 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be39a7348190a75735fe56c78fc3 |
completed | April 19, 2026, 11:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0349b16af88190b1b67765cc133807 |
completed | May 12, 2026, 3:39 p.m. |
| NEDg | Description generation | batch_6a034af2f26c8190823a7c943632e35f |
completed | May 12, 2026, 3:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a034ba6c5648190bd3d67b66133e738 |
completed | May 12, 2026, 3:47 p.m. |
Created at: April 10, 2026, 10:25 a.m.