Triple
T5341479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Nagin |
E123953
|
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: [Ray Nagin, givenName, Clarence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clarence Context triple: [Ray Nagin, givenName, Clarence]
-
A.
Clarence
chosen
Clarence is a masculine given name of Latin origin, commonly used in English-speaking countries.
-
B.
Clarence Rivers
Clarence Rivers was an influential American Catholic priest, composer, and liturgist known for pioneering the integration of African-American musical traditions into Catholic worship.
-
C.
Clarence Paul
Clarence Paul was an American songwriter and record producer best known for his influential work at Motown Records, particularly with artists like Stevie Wonder.
-
D.
Henry
Henry is a masculine given name of Germanic origin that has been widely used by European royalty and notable historical figures.
-
E.
Henry
Henry is the given first name of Hank Steinbrenner, a late co-owner and general partner of the New York Yankees baseball team.
- 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85cb250c81908a48e4e2bbebbdb9 |
completed | March 20, 2026, 5:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18c8db388190a31f55854e7370fc |
completed | March 21, 2026, 10:16 p.m. |
Created at: March 20, 2026, 2 p.m.