Triple
T16213020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrell Suggs |
E393512
|
entity |
| Predicate | knownAs |
P39
|
FINISHED |
| Object | T-Sizzle |
E393512
|
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: T-Sizzle | Statement: [Terrell Suggs, knownAs, T-Sizzle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T-Sizzle Context triple: [Terrell Suggs, knownAs, T-Sizzle]
-
A.
T-Sizzle
chosen
T-Sizzle is the popular nickname of Terrell Suggs, a dominant NFL linebacker best known for his long, impactful career with the Baltimore Ravens.
-
B.
T-Spize
T-Spize is a Nigerian music producer known for crafting hit Afrobeat and contemporary pop tracks for prominent artists.
-
C.
Sizzle Pro
Sizzle Pro is a production company known for its work on the popular American sitcom "The King of Queens."
-
D.
Taze
Taze is the middle name of Charles Taze Russell, the American religious leader who founded the Bible Student movement and was an early influence on Jehovah’s Witnesses.
-
E.
Shizzi
Shizzi is a Nigerian record producer and songwriter known for crafting hit Afrobeat tracks for major artists in the contemporary African music scene.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f2c1288190bfaed49c364bfa22 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007932f088190b6c20913cfb932f4 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.