Triple
T21848625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Black |
E539441
|
entity |
| Predicate | oftenInteractsWith |
P25924
|
FINISHED |
| Object | Sophie Kachinsky |
—
|
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: Sophie Kachinsky | Statement: [Max Black, oftenInteractsWith, Sophie Kachinsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sophie Kachinsky Context triple: [Max Black, oftenInteractsWith, Sophie Kachinsky]
-
A.
Sophie Kachinsky
chosen
Sophie Kachinsky is a quirky, flirtatious Polish neighbor and recurring comedic character from the sitcom "2 Broke Girls."
-
B.
Sophie Kauer
Sophie Kauer is a British-German cellist and actress best known for her breakout film debut in the 2022 psychological drama "Tár."
-
C.
Sophie Karsten
Sophie Karsten was a Swedish opera singer and actress of the late 18th and early 19th centuries, known both for her stage career and as the mother of famed ballerina Marie Taglioni.
-
D.
Nicole Kruspe
Nicole Kruspe is a linguist known for her extensive research and documentation of Aslian languages spoken by indigenous communities in the Malay Peninsula.
-
E.
Sofia Hublitz
Sofia Hublitz is an American actress best known for playing Charlotte Byrde, the daughter of the main characters, in the Netflix crime drama series "Ozark."
- 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_69e0c476c3c88190a92d08ebb59a128a |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0bd56f4e081909a906b64c1019e6a |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 16, 2026, 6:55 p.m.