Triple
T14523841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You're Gonna Get Rocked! |
E340719
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | La Toya |
E1104558
|
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: La Toya | Statement: [You're Gonna Get Rocked!, precededBy, La Toya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Toya Context triple: [You're Gonna Get Rocked!, precededBy, La Toya]
-
A.
La Toya
chosen
La Toya is the third studio album by American singer La Toya Jackson, showcasing her 1980s pop and R&B style.
-
B.
Toya
Toya is an American R&B singer best known for her early-2000s work, including collaborations like her feature on Cam'ron's hit single "Hey Ma."
-
C.
LaToya
LaToya is a feminine given name most notably associated with American singer and actress LaToya London.
-
D.
Ta’aisha
The Ta’aisha are a Sudanese Arab tribal group from the Darfur–Kordofan region, historically prominent through their leadership role in the Mahdist state under Abdallahi ibn Muhammad.
-
E.
LaToya Tonodeo
LaToya Tonodeo is an American actress best known for her role as Diana Tejada in the television series "Power Book II: Ghost."
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea04f16f88190ba357b0f8021b46b |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8ab07e08819085a6a21cc9cea1fa |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:22 a.m.