Triple
T15409202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toie Roberts |
E368538
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Toie Roberts |
E368538
|
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: Toie Roberts | Statement: [Toie Roberts, name, Toie Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Toie Roberts Context triple: [Toie Roberts, name, Toie Roberts]
-
A.
Toie Roberts
chosen
Toie Roberts is the daughter of American rapper and entrepreneur Rick Ross.
-
B.
LaToya Tonodeo
LaToya Tonodeo is an American actress best known for her role as Diana Tejada in the television series "Power Book II: Ghost."
-
C.
Tomica Wright
Tomica Wright is an American music executive and widow of rapper Eazy-E, known for taking over and running Ruthless Records after his death.
-
D.
Roxanne Rogers
Roxanne Rogers is the adopted daughter of American actor and musician Charles "Buddy" Rogers.
-
E.
Cal Weaver
Cal Weaver is a middle-aged suburban man whose life is upended by his wife's infidelity, leading him into an awkward yet transformative journey through modern dating in the romantic comedy film "Crazy, Stupid, Love."
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03ea4f13c819085d26fd32b5dca6f |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff135d65988190b35392bdf1e45985 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:20 a.m.