Triple
T11169357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ryan Smith |
E264234
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ryan Smith |
E264234
|
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: Ryan Smith | Statement: [Ryan Smith, name, Ryan Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ryan Smith Context triple: [Ryan Smith, name, Ryan Smith]
-
A.
Ryan Smith
chosen
Ryan Smith is an American entrepreneur and tech billionaire best known as the co-founder of Qualtrics and the principal owner of the NBA’s Utah Jazz.
-
B.
Justin Smith
Justin Smith, better known as Just Blaze, is an American hip-hop record producer and DJ renowned for his influential work with artists like Jay-Z, Eminem, and Kanye West.
-
C.
Craig Smith
Craig Smith is an actor known for appearing in Peter Jackson’s cult splatter-comedy film "Bad Taste."
-
D.
Ryan Sissons
Ryan Sissons is a New Zealand triathlete who has represented his country at multiple international competitions, including the Olympic Games and World Triathlon Series events.
-
E.
Scott Smith
Scott Smith is an American author and screenwriter best known for his dark thriller novels, including "A Simple Plan" and "The Ruins," both of which were adapted into films.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8952e248190b0751669e8c960b7 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e463a2e2fc819086126b681d86e94b |
completed | April 19, 2026, 5:09 a.m. |
Created at: April 8, 2026, 9:29 p.m.