Triple
T14431532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain Leland Stottlemeyer |
E357841
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Stottlemeyer
Stottlemeyer is the surname of Captain Leland Stottlemeyer, a central police character from the television series "Monk."
|
E1098777
|
NE FINISHED |
How this triple was built (4 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: Stottlemeyer | Statement: [Captain Leland Stottlemeyer, familyName, Stottlemeyer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stottlemeyer Context triple: [Captain Leland Stottlemeyer, familyName, Stottlemeyer]
-
A.
Kleiser
Kleiser is a surname most notably associated with American film director Randal Kleiser, known for directing the musical romantic comedy "Grease."
-
B.
Oberhauser
Oberhauser is a German-language surname borne by various notable individuals across fields such as sports, the arts, and public life.
-
C.
Stöcker
Stöcker is a German surname that is a variant of the name Stoker.
-
D.
Stockel
Stockel is a residential neighborhood and metro terminus in the Woluwe-Saint-Pierre municipality of Brussels, Belgium.
-
E.
Altmeyer
Altmeyer is a surname most notably associated with Arthur J. Altmeyer, a key architect of the U.S. Social Security system.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Stottlemeyer Triple: [Captain Leland Stottlemeyer, familyName, Stottlemeyer]
Generated description
Stottlemeyer is the surname of Captain Leland Stottlemeyer, a central police character from the television series "Monk."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stottlemeyer Target entity description: Stottlemeyer is the surname of Captain Leland Stottlemeyer, a central police character from the television series "Monk."
-
A.
Kleiser
Kleiser is a surname most notably associated with American film director Randal Kleiser, known for directing the musical romantic comedy "Grease."
-
B.
Oberhauser
Oberhauser is a German-language surname borne by various notable individuals across fields such as sports, the arts, and public life.
-
C.
Stöcker
Stöcker is a German surname that is a variant of the name Stoker.
-
D.
Stockel
Stockel is a residential neighborhood and metro terminus in the Woluwe-Saint-Pierre municipality of Brussels, Belgium.
-
E.
Altmeyer
Altmeyer is a surname most notably associated with Arthur J. Altmeyer, a key architect of the U.S. Social Security system.
- F. None of above. chosen
Provenance (5 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914570f08190b1c7c1c57a0cb476 |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bd3e6c48190b4fc3794202a0c3f |
completed | May 8, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69fd5de2ebac81908042f6696400a74d |
completed | May 8, 2026, 3:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5e6927c88190add8d31989bec043 |
completed | May 8, 2026, 3:54 a.m. |
Created at: April 10, 2026, 1:18 a.m.