Triple
T3342821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CSI: NY |
E70297
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Ann Donahue |
E375503
|
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: Ann Donahue | Statement: [CSI: NY, creator, Ann Donahue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ann Donahue Context triple: [CSI: NY, creator, Ann Donahue]
-
A.
Ann Donahue
chosen
Ann Donahue is an American television writer and producer best known as a co-creator and longtime showrunner of the CSI franchise.
-
B.
Ann Hearn
Ann Hearn is an American actress known for her supporting roles in film and television, including an appearance in the legal drama "The Accused."
-
C.
Ann McKean
Ann McKean was a daughter of Thomas McKean, a prominent American Founding Father and signer of the Declaration of Independence.
-
D.
Ann Rosener
Ann Rosener was an American photographer best known for her documentary images of home-front life and industry during World War II, particularly through her work for U.S. government agencies.
-
E.
Mary Beth Hughes
Mary Beth Hughes was an American film and television actress best known for her roles in 1940s Hollywood dramas and crime films.
- 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_69bd7f501e588190b666141f7e5ed6ae |
completed | March 20, 2026, 5:09 p.m. |
Created at: March 8, 2026, 3:12 p.m.