Triple
T19908907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harriet Spelman |
E478491
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Spelman |
—
|
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: Spelman | Statement: [Harriet Spelman, familyName, Spelman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spelman Context triple: [Harriet Spelman, familyName, Spelman]
-
A.
Spelman
chosen
Spelman is a surname of English origin borne by various notable individuals across different fields.
-
B.
Spelman College
Spelman College is a prestigious private historically Black liberal arts college for women located in Atlanta, Georgia.
-
C.
Bennett College
Bennett College is a private, historically Black liberal arts college for women located in Greensboro, North Carolina.
-
D.
Morehouse College
Morehouse College is a historically Black, all-male liberal arts college in Atlanta, Georgia, renowned for producing prominent African American leaders including Martin Luther King Jr.
-
E.
Morehouse
Morehouse is a small community located within Hamilton County in the state of New York.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6598d91ac8190be6abdd7d1542aec |
completed | April 20, 2026, 4:51 p.m. |
Created at: April 10, 2026, 1:53 p.m.