Triple
T20248502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadie Sink |
E498487
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sink |
—
|
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: Sink | Statement: [Sadie Sink, familyName, Sink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sink Context triple: [Sadie Sink, familyName, Sink]
-
A.
Sink
chosen
Sink is a common English surname shared by individuals such as American actress Sadie Sink.
-
B.
River Suck
River Suck is a major river in western Ireland that flows through counties such as Roscommon and Galway before joining the River Shannon.
-
C.
Sinking In
"Sinking In" is a track featured on the album *To Whom It May Concern*, likely contributing to its introspective and personal tone.
-
D.
Abyss
Abyss is an American professional wrestler best known for his long-running, hardcore-style career in Total Nonstop Action/Impact Wrestling, where he became one of the promotion’s signature monsters and multi-time champion.
-
E.
Abyss
The Abyss is a chaotic, infinite plane of torment and evil in Dungeons & Dragons, home to countless demons and malevolent entities.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e673a5ce4081908dff86ed4c613fd6 |
completed | April 20, 2026, 6:42 p.m. |
Created at: April 11, 2026, 11:41 p.m.