Triple
T6659586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rance Howard |
E151439
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Rance |
E151439
|
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: Rance | Statement: [Rance Howard, givenName, Rance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rance Context triple: [Rance Howard, givenName, Rance]
-
A.
Rance
chosen
Rance is a masculine given name most notably borne by American actor Rance Howard.
-
B.
La Rive
La Rive is a renowned fine-dining restaurant located within Amsterdam’s historic Amstel Hotel, known for its elegant cuisine and riverside setting.
-
C.
Chiers River
The Chiers River is a tributary of the Meuse that flows through Luxembourg, Belgium, and northeastern France, passing industrial towns such as Longwy along its course.
-
D.
Riber
Riber is the namesake locality in Derbyshire, England, best known for giving its name to the historic hilltop Riber Castle overlooking Matlock.
-
E.
La Rivière
La Rivière is a sector of the town of Gold, recognized as one of its notable local areas.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b071cc6c81909d7df1841c645661 |
completed | March 27, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef0738a88190802abaeb0ab0a927 |
completed | March 27, 2026, 8:56 p.m. |
Created at: March 27, 2026, 2:02 p.m.