Triple
T14697591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suggs |
E345203
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | George Suggs |
E855678
|
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: George Suggs | Statement: [Suggs, hasNotableBearer, George Suggs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Suggs Context triple: [Suggs, hasNotableBearer, George Suggs]
-
A.
George Suggs
chosen
George Suggs was an early 20th-century American Major League Baseball pitcher known for his time with teams such as the Cincinnati Reds and Baltimore Terrapins.
-
B.
Willie Baker
Willie Baker was the husband of famed American-born French entertainer and civil rights activist Josephine Baker.
-
C.
Tishaura Jones
Tishaura Jones is an American politician and the first Black woman to serve as mayor of St. Louis, Missouri.
-
D.
Mike Garrett
Mike Garrett is a former American football running back best known for his standout collegiate career at USC, winning the Heisman Trophy, and later playing professionally in the AFL and NFL.
-
E.
Levar Stoney
Levar Stoney is an American politician who serves as the mayor of Richmond, Virginia, and is known for being one of the youngest mayors in the city’s history.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb604f88081908a677175045496d0 |
completed | April 14, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde19040e0819099159ed2609c6965 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:28 a.m.