Triple
T7522046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabel Sanford |
E177793
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Weezy |
E631696
|
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: Weezy | Statement: [Isabel Sanford, alsoKnownAs, Weezy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weezy Context triple: [Isabel Sanford, alsoKnownAs, Weezy]
-
A.
Weezy
chosen
Weezy is the affectionate nickname of Louise Jefferson, the sharp-tongued, warm-hearted matriarch from the classic American sitcom "The Jeffersons."
-
B.
Weezy F. Baby
Weezy F. Baby is a popular nickname and catchphrase used by American rapper Lil Wayne, often featured in his song intros and lyrics.
-
C.
Jeezy
Jeezy is an American rapper from Atlanta known for his influential role in popularizing trap music in the mid-2000s.
-
D.
Biggz
Biggz is one of the teenage gang members in the British sci-fi film "Attack the Block," which follows a South London crew battling an alien invasion.
-
E.
Sheck Wes
Sheck Wes is an American rapper and songwriter best known for his breakout hit single "Mo Bamba" and his association with Kanye West’s GOOD Music label.
- 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c3c4c08190ad418978afcc98ec |
completed | March 27, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8462d743481909a3cfb6d31d94d98 |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:46 p.m.