Triple
T18468174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelli Questrom |
E451219
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Questrom |
—
|
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: Questrom | Statement: [Kelli Questrom, familyName, Questrom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Questrom Context triple: [Kelli Questrom, familyName, Questrom]
-
A.
Questrom School of Business
chosen
Questrom School of Business is Boston University's business school, offering undergraduate, graduate, and executive programs in business and management.
-
B.
Swasey
Swasey is a surname of English origin borne by various notable individuals, including architects, politicians, and academics.
-
C.
Olin
Olin is a masculine given name of English origin, historically borne by figures such as the American sculptor Olin Levi Warner.
-
D.
Kogod
Kogod is the business school of American University in Washington, D.C., offering undergraduate and graduate programs in business and management.
-
E.
Tepper
Tepper is a surname most prominently associated with American billionaire hedge fund manager and Carolina Panthers owner David Tepper.
- 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52a857b1481908ebfcf832c83376f |
completed | April 19, 2026, 7:18 p.m. |
Created at: April 10, 2026, 11:34 a.m.