Triple
T13211213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blaze Tucker |
E314495
|
entity |
| Predicate | motherMemberOf |
P59134
|
FINISHED |
| Object | Xscape |
E314484
|
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: Xscape | Statement: [Blaze Tucker, motherMemberOf, Xscape]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xscape Context triple: [Blaze Tucker, motherMemberOf, Xscape]
-
A.
Xscape
chosen
Xscape is an American R&B girl group that rose to fame in the 1990s with soulful harmonies and hit songs like "Just Kickin' It" and "Understanding."
-
B.
En Vogue
En Vogue is an American R&B/pop vocal girl group known for their powerful harmonies and a string of hits since the early 1990s.
-
C.
Bal Divas
Bal Divas is a children’s day celebration in India dedicated to honoring and promoting the rights, welfare, and education of children.
-
D.
Destiny's Child
Destiny's Child was a hugely successful American R&B girl group, best known for hits like "Say My Name" and "Survivor" and for launching Beyoncé's career.
-
E.
Vishanti
The Vishanti are a powerful trio of mystical deities in Marvel Comics, often invoked by sorcerers like Doctor Strange as a primary source of magical protection and arcane power.
- 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_69d98f71c5388190a6e122e14384efd7 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716c2c15c819096a0eb84e7551f6f |
completed | May 3, 2026, 9:34 a.m. |
Created at: April 9, 2026, 9:17 p.m.