Triple
T8731907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howell |
E207275
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Howel |
E205998
|
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: Howel | Statement: [Howell, hasVariant, Howel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Howel Context triple: [Howell, hasVariant, Howel]
-
A.
Howel
chosen
Howel is a given name and surname of Welsh origin, historically associated with several notable figures in Welsh history and literature.
-
B.
Walthar
Walthar is a given name, likely a variant of the Germanic name Walther, used as a personal name in various European contexts.
-
C.
Henreid
Henreid is the surname of Paul Henreid, the Austrian-born actor and director best known for his roles in classic Hollywood films such as "Casablanca" and "Now, Voyager."
-
D.
Hawise
Hawise is a medieval European female given name borne by several noblewomen in England and France.
-
E.
Hamo
Hamo is an Armenian given name, often used as a diminutive or familiar form of the name Hovhannes or similar traditional Armenian names.
- 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_69ca8358e4008190898471a59b96c301 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d27efb88190b42d5bc9774d9c63 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf292d71ec819082095cb7b8b2d39c |
completed | April 3, 2026, 2:42 a.m. |
Created at: March 30, 2026, 6:37 p.m.