Triple
T6629006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Mead Howells |
E149873
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Howells |
E41212
|
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: Howells | Statement: [John Mead Howells, familyName, Howells]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howells Context triple: [John Mead Howells, familyName, Howells]
-
A.
Howells
chosen
Howells is a surname most notably associated with William Dean Howells, a prominent 19th-century American realist author and literary critic.
-
B.
John Howells
John Howells is a notable individual who shares the surname associated with the prominent Howells family name.
-
C.
Jewett
Jewett is a surname of English origin borne by various notable individuals across fields such as science, politics, and the arts.
-
D.
Gilman
Gilman is a surname most notably associated with Daniel Coit Gilman, a pioneering American educator and first president of Johns Hopkins University.
-
E.
McClurg
McClurg is the namesake of the historic McClurg Building, a notable structure recognized for its architectural and cultural significance.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6afa4a08481908cb5a554f388f32a |
completed | March 27, 2026, 4:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e44f5f9c819088cfb4fd87887766 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:59 p.m.