Triple
T16612619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Themetta Suggs |
E403613
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Suggs |
E345203
|
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: Suggs | Statement: [Themetta Suggs, familyName, Suggs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suggs Context triple: [Themetta Suggs, familyName, Suggs]
-
A.
Suggs
chosen
Suggs is a surname shared by various notable individuals across fields such as sports, music, and entertainment.
-
B.
Tim Burgess
Tim Burgess is an English singer, songwriter, and record producer best known as the lead vocalist of the alternative rock band The Charlatans.
-
C.
Simon Ward
Simon Ward was a British actor known for his roles in films such as "Young Winston," "The Three Musketeers," and numerous stage and television productions.
-
D.
Paul Cattermole
Paul Cattermole was an English singer and actor best known as one of the original members of the late-1990s pop group S Club 7.
-
E.
Wally Sykes
Wally Sykes is a British sport shooter known for competing in international clay pigeon shooting events, including the Olympic Games.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3609776d48190b6b8c7826ac575c4 |
completed | April 18, 2026, 10:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075aeaa9881908bdef0f9f2b52e60 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:17 a.m.