Triple
T5582829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tatiana Schlossberg |
E146679
|
entity |
| Predicate | father |
P120
|
FINISHED |
| Object | Edwin Schlossberg |
E220913
|
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: Edwin Schlossberg | Statement: [Tatiana Schlossberg, father, Edwin Schlossberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edwin Schlossberg Context triple: [Tatiana Schlossberg, father, Edwin Schlossberg]
-
A.
Edwin Schlossberg
chosen
Edwin Schlossberg is an American designer, artist, and author known for his innovative work in interactive museum and exhibition design.
-
B.
ジョー・ローゼンタール
ジョー・ローゼンタールは、第二次世界大戦中の硫黄島で星条旗を掲げる米兵たちを捉えた歴史的な報道写真で知られるアメリカの写真家です。
-
C.
Barry Munitz
Barry Munitz is an American academic administrator and former university system leader best known for serving as chancellor of the California State University and later heading the J. Paul Getty Trust.
-
D.
Andrew Weisblum
Andrew Weisblum is an American film editor known for his work on major feature films, including collaborations with directors like Darren Aronofsky and Wes Anderson.
-
E.
Sam Levenson
Sam Levenson was an American humorist, writer, and television host known for his warm, family-centered Jewish humor and popular books such as "Everything But Money."
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0208333f08190bf0049b6bdd280f5 |
completed | March 22, 2026, 5:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c669cd6bb08190966b89a2129f5738 |
completed | March 27, 2026, 11:28 a.m. |
Created at: March 22, 2026, 3:37 p.m.