Triple
T6855613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ritchey |
E158132
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Richey |
E95159
|
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: Richey | Statement: [Ritchey, hasVariant, Richey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richey Context triple: [Ritchey, hasVariant, Richey]
-
A.
Richie
Richie is the surname of Lionel Richie, the acclaimed American singer, songwriter, and record producer known for his soulful pop and R&B hits.
-
B.
Richie
Richie is a common diminutive or nickname for the given name Richmond.
-
C.
Richel
Richel is a small, uninhabited sandbar island in the Wadden Sea off the Dutch coast, known as part of the West Frisian Islands archipelago.
-
D.
Ritchie
chosen
Ritchie is the surname of British filmmaker Guy Ritchie, known for his stylized crime comedies such as "Lock, Stock and Two Smoking Barrels" and "Snatch."
-
E.
Richie Roberts
Richie Roberts is a real-life New Jersey detective and prosecutor best known for his role in bringing down drug lord Frank Lucas, a story dramatized in the film "American Gangster."
- 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_69c6882fae988190864cbba788c5ebb4 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d86d5a54819088537ada9f8d1105 |
completed | March 27, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fdda9cc8190b039f892d046d7af |
completed | March 28, 2026, 1:33 a.m. |
Created at: March 27, 2026, 2:20 p.m.