Triple
T4825671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leon Riley |
E107818
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Riley |
E86110
|
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: Riley | Statement: [Leon Riley, familyName, Riley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riley Context triple: [Leon Riley, familyName, Riley]
-
A.
Riley
chosen
Riley is a surname most famously associated with Pat Riley, the legendary NBA coach and executive.
-
B.
Riley Grazer
Riley Grazer is a child of acclaimed American film and television producer Brian Grazer.
-
C.
Ryann
Ryann is a given name, typically used as a modern variant of the name Ryan.
-
D.
Riley Burruss
Riley Burruss is the daughter of singer-songwriter and reality TV star Kandi Burruss, known to viewers of "The Real Housewives of Atlanta" for her appearances alongside her mother.
-
E.
Skylar
Skylar is a compassionate and intelligent Harvard student who becomes Will Hunting’s love interest in the film "Good Will Hunting."
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6caf22308190a2048ec6acfa5af2 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67d1d3508190a63a1daccce57da7 |
completed | March 21, 2026, 9:41 a.m. |
Created at: March 20, 2026, 1:24 p.m.