Triple
T13212981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rena Greek |
E314538
|
entity |
| Predicate | notableFeud |
P22787
|
FINISHED |
| Object | Tori (Terri Poch) |
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 (Terri Poch) | Statement: [Rena Greek, notableFeud, Tori (Terri Poch)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tori (Terri Poch) Context triple: [Rena Greek, notableFeud, Tori (Terri Poch)]
-
A.
Tori
chosen
Tori is a common diminutive or nickname for the given name Victoria.
-
B.
Terri
Terri is a common diminutive form of the given name Theresa.
-
C.
Terri
Terri is a supporting character in the comedy film "Beauty Shop," contributing to the ensemble of stylists and clients at the salon.
-
D.
Terri
Terri is a Nigerian singer and songwriter known for his Afrobeats music and work under Wizkid’s Starboy Entertainment label.
-
E.
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.
- 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_69d98c9f0f148190a0698ef27573c885 |
completed | April 10, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f6136270819093256a143d2c9e65 |
completed | May 3, 2026, 7:15 a.m. |
Created at: April 9, 2026, 9:17 p.m.