Triple
T14118932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clarence Nash |
E339852
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Clarence |
E151400
|
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: Clarence | Statement: [Clarence Nash, givenName, Clarence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clarence Context triple: [Clarence Nash, givenName, Clarence]
-
A.
Clarence
chosen
Clarence is a masculine given name of Latin origin, commonly used in English-speaking countries.
-
B.
Clarence
Clarence is a small rural settlement in New Zealand’s South Island, known for its coastal location near the Kaikōura Ranges and popular river for rafting.
-
C.
King Richard
"King Richard" is a 2021 biographical sports drama film about Richard Williams, the determined father and coach of tennis champions Venus and Serena Williams.
-
D.
Henry
Henry is the birth name of Hank Aaron, the legendary American baseball player who broke Babe Ruth’s career home run record.
-
E.
Henry
Henry is the given first name of American businessman and politician Ross Perot, who was a prominent third-party U.S. presidential candidate in the 1990s.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de609322ac8190bb389ca250882af5 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0bc60088190a7e2f0c9532304e3 |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:22 p.m.