Triple
T16032010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reggie |
E388868
|
entity |
| Predicate | hasNotableBearerGivenName |
P110784
|
FINISHED |
| Object | Reggie Brown |
—
|
NE NERFINISHED |
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: [Reggie, hasNotableBearerGivenName, Reggie Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reggie Brown Context triple: [Reggie, hasNotableBearerGivenName, 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.
Ron Todd
Ron Todd is an American politician who served as the Kansas Insurance Commissioner before Kathleen Sebelius.
-
C.
Ron Todd
Ron Todd was a prominent British trade union leader who served as a key figure in the labor movement during the late 20th century.
-
D.
Harvey Postlethwaite
Harvey Postlethwaite was a prominent British Formula One engineer and designer best known for his influential work on innovative and competitive race cars for several top teams during the 1970s–1990s.
-
E.
James Bolam
James Bolam is an English actor best known for his roles in classic British television series such as "The Likely Lads" and "New Tricks."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e21a00f6808190a60939ef7ce727a7 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 4:56 a.m.