Triple
T9730831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rose Schlossberg |
E235734
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Tatiana Schlossberg |
E146679
|
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: Tatiana Schlossberg | Statement: [Rose Schlossberg, sibling, Tatiana Schlossberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tatiana Schlossberg Context triple: [Rose Schlossberg, sibling, Tatiana Schlossberg]
-
A.
Tatiana Schlossberg
chosen
Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
-
B.
Sofia Rosinsky
Sofia Rosinsky is an American actress best known for her starring role in the science fiction television series "Paper Girls."
-
C.
Yulia Meltzer
Yulia Meltzer was a Ukrainian-born Jewish dancer best known as the wife of Yakov Dzhugashvili, Joseph Stalin’s eldest son.
-
D.
Julia Bloch
Julia Bloch is an American poet, editor, and scholar known for her innovative work in contemporary poetry and literary criticism.
-
E.
Nina Bernstein
Nina Bernstein is the daughter of renowned American composer and conductor Leonard Bernstein, known for helping preserve and promote her father's musical legacy.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb2373c81909139c7a2ff2aa541 |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc408b988190980db82fbd93e988 |
completed | April 5, 2026, 2:43 a.m. |
Created at: March 30, 2026, 8:21 p.m.