Triple
T1600222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howe |
E34373
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Howes |
E34373
|
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: Howes | Statement: [Howe, hasVariant, Howes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howes Context triple: [Howe, hasVariant, Howes]
-
A.
Howe
chosen
Howe is an English-language surname of Anglo-Norman and Old English origin, borne by numerous notable figures across politics, the military, the arts, and sports.
-
B.
Hooper
Hooper is a surname most notably associated with Harry Hooper, a Hall of Fame Major League Baseball right fielder from the early 20th century.
-
C.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
D.
Holthees
Holthees is a small village in the Dutch province of North Brabant, known for its rural character and historic church.
-
E.
Manche
Manche is a coastal department in the Normandy region of northwestern France, known for its rugged shoreline along the English Channel and historic sites such as Mont-Saint-Michel.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9094a27908190bf0d9b5d43617192 |
completed | March 5, 2026, 4:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad46aafce08190855f8e0b760ab5ac |
completed | March 8, 2026, 9:51 a.m. |
Created at: March 4, 2026, 7:28 p.m.