Triple
T13564445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dann Florek |
E323995
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object | Donald Cragen |
E820596
|
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: Donald Cragen | Statement: [Dann Florek, notableCharacter, Donald Cragen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Cragen Context triple: [Dann Florek, notableCharacter, Donald Cragen]
-
A.
Donald Cragen
chosen
Donald Cragen is a fictional NYPD captain known for leading the Special Victims Unit with a firm but compassionate approach in the television series "Law & Order: Special Victims Unit."
-
B.
Andy Sipowicz
Andy Sipowicz is a tough, emotionally complex New York City detective and central character from the television drama "NYPD Blue."
-
C.
Mickey Hargitay
Mickey Hargitay was a Hungarian-American bodybuilder, actor, and former Mr. Universe best known for his marriage to Jayne Mansfield and his roles in 1950s–60s films.
-
D.
Val McNulty
Val McNulty is a fictional character appearing in P. G. Wodehouse’s comic novel "The Mating Season."
-
E.
Paul Sciarra
Paul Sciarra is an American entrepreneur best known as a co-founder of the visual discovery and bookmarking platform Pinterest.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb00bbe848190bb33efe2af528295 |
completed | April 12, 2026, 2:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bb1ef508190ab587bd2aa34795b |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:47 p.m.