Triple
T18933415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natalie Scatorccio |
E463173
|
entity |
| Predicate | closeTo |
P350
|
FINISHED |
| Object | Taissa Turner |
—
|
NE NERFINISHED |
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: Taissa Turner | Statement: [Natalie Scatorccio, closeTo, Taissa Turner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taissa Turner Context triple: [Natalie Scatorccio, closeTo, Taissa Turner]
-
A.
Taissa Turner
chosen
Taissa Turner is a central character in the TV series "Yellowjackets," portrayed as an ambitious, resilient survivor whose traumatic past as a stranded teen soccer player collides with her adult life and political career.
-
B.
Carrie Turner
Carrie Turner was one of the early wives of musician and bandleader Ike Turner, known primarily in relation to his personal life.
-
C.
Jessica Dean Turner
Jessica Dean Turner is an actress known for her role in the television series "Crisis."
-
D.
Deborah Anne Mazar
Deborah Anne Mazar is an American actress known for her sharp-tongued, tough-girl roles in film and television, including notable appearances in "Goodfellas," "Entourage," and "Younger."
-
E.
Brianne Tju
Brianne Tju is an American actress known for her roles in teen and horror television series and films, including the thriller "47 Meters Down: Uncaged."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d3e57e648190aa4d3b09e84d4d38 |
completed | April 20, 2026, 7:21 a.m. |
Created at: April 10, 2026, 11:59 a.m.