Triple
T2413005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Snapchat |
E52237
|
entity |
| Predicate | founder |
P104
|
FINISHED |
| Object | Reggie Brown |
E56448
|
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: Reggie Brown | Statement: [Snapchat, founder, Reggie Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reggie Brown Context triple: [Snapchat, founder, Reggie Brown]
-
A.
Reggie Brown
chosen
Reggie Brown is an American entrepreneur best known as a co-founder of Snapchat, the multimedia messaging app developed by Snap Inc.
-
B.
Richard Briers
Richard Briers was an English actor best known for his work in British television comedies such as "The Good Life" and for his frequent collaborations with director Kenneth Branagh in both stage and film.
-
C.
Michael Hordern
Michael Hordern was an English actor renowned for his distinguished stage and screen career, often noted for his Shakespearean roles and character work in British film and television.
-
D.
Roger Lloyd-Pack
Roger Lloyd-Pack was an English actor best known for his comedic roles in British television, particularly as Trigger in "Only Fools and Horses."
-
E.
Terence Stamp
Terence Stamp is an English actor known for his distinctive presence and performances in films such as "The Collector," "Superman II," and "The Limey."
- 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_69ab495622948190bc6bc6e4cddaf645 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc92a4e1c8190819fa676295ac145 |
completed | March 7, 2026, 6:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b055a71200819095c2a5481c61deb5 |
completed | March 10, 2026, 5:32 p.m. |
Created at: March 6, 2026, 9:41 p.m.