Triple
T13210816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xscape |
E314484
|
entity |
| Predicate | formerMember |
P1168
|
FINISHED |
| Object | Tamika Scott |
E1036886
|
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: Tamika Scott | Statement: [Xscape, formerMember, Tamika Scott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamika Scott Context triple: [Xscape, formerMember, Tamika Scott]
-
A.
Tamika Scott
chosen
Tamika Scott is an American R&B singer and songwriter best known as a member of the multi-platinum 1990s girl group Xscape.
-
B.
Tyisha Bogues
Tyisha Bogues is the daughter of former NBA point guard Muggsy Bogues.
-
C.
Courtney Hodges
Courtney Hodges was a senior U.S. Army general in World War II who led First Army in Western Europe, playing a key role in the Allied advance from Normandy into Germany.
-
D.
LaTisha Scott
LaTisha Scott is a reality television personality and real estate entrepreneur best known for appearing on the OWN series "Love & Marriage: Huntsville."
-
E.
Tyasha Harris
Tyasha Harris is an American professional basketball player and standout point guard who starred for the University of South Carolina Gamecocks women’s basketball program.
- 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_69d806aee7308190b70a237ba2a6e3e1 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c9e072c8190b66e2c2430628ed0 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7546b9ae081909f97fc4a06b8f927 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:17 p.m.