Triple
T8883889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Howells |
E211477
|
entity |
| Predicate | hasFamilyName |
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: [Roger Howells, hasFamilyName, Howells]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howells Context triple: [Roger Howells, hasFamilyName, 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.
Hueffer
Hueffer is the original surname of the English novelist and critic Ford Madox Ford, used before he changed his name during World War I.
-
D.
Howells & Stokes
Howells & Stokes was an early 20th-century American architectural firm known for designing prominent commercial and institutional buildings, particularly in New York City.
-
E.
Haardt
Haardt is a district of Neustadt an der Weinstraße in Rhineland-Palatinate, Germany, known for its scenic location along the German Wine Route and proximity to the Palatinate Forest.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc616b2d988190b923ef1e33aab787 |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabd254148190b5ea3d308fe96851 |
completed | April 3, 2026, noon |
Created at: March 30, 2026, 6:53 p.m.