Triple
T3342822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSI: NY |
E70297
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Carol Mendelsohn |
E289643
|
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: Carol Mendelsohn | Statement: [CSI: NY, creator, Carol Mendelsohn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carol Mendelsohn Context triple: [CSI: NY, creator, Carol Mendelsohn]
-
A.
Carol Mendelsohn
chosen
Carol Mendelsohn is an American television producer and writer best known for her influential work shaping the CSI franchise and modern crime procedural dramas.
-
B.
Margaret Shenberg
Margaret Shenberg was the first wife of influential Hollywood film producer and studio executive Louis B. Mayer.
-
C.
Aviva Kempner
Aviva Kempner is an American independent filmmaker and documentarian best known for her works exploring Jewish history, social justice, and overlooked cultural figures.
-
D.
Charlotte Rosen
Charlotte Rosen was the first wife of influential American television writer and producer Norman Lear, known primarily in relation to his early life and career.
-
E.
Margot Löwenthal
Margot Löwenthal was the daughter of Elsa Löwenthal, who was Albert Einstein’s second wife and cousin.
- 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_69ad85a405e48190b6e68de7cf9f319e |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1f06f8c8190a6b7c56ac3f5ff07 |
completed | March 8, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b672133044819089d54cca5ed6a063 |
completed | March 15, 2026, 8:47 a.m. |
Created at: March 8, 2026, 3:12 p.m.