Triple
T17099545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viki Lord |
E414941
|
entity |
| Predicate | hasAlterEgo |
P39
|
FINISHED |
| Object | Tori |
E563436
|
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: Tori | Statement: [Viki Lord, hasAlterEgo, Tori]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tori Context triple: [Viki Lord, hasAlterEgo, Tori]
-
A.
Tori
chosen
Tori is a common diminutive or nickname for the given name Victoria.
-
B.
Tori Vega
Tori Vega is the musically talented and optimistic main protagonist of the Nickelodeon teen sitcom "Victorious," where she attends a performing arts high school and pursues her dreams of stardom.
-
C.
Tori Anderson
Tori Anderson is a Canadian actress known for her television roles, including a main part in the crime drama series NCIS: Hawaiʻi.
-
D.
Tina
Tina is the nickname of Tina Fey, an American comedian, writer, actress, and producer best known for her work on Saturday Night Live and 30 Rock.
-
E.
Tina
Tina is a fictional character portrayed by American actress Idara Victor.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc00880481909cc0dbc169663a41 |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eefd5f08190b9eb8a81e45a9921 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.