Triple
T13399888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morey Amsterdam |
E319798
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Morey Amsterdam |
E319798
|
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: Morey Amsterdam | Statement: [Morey Amsterdam, name, Morey Amsterdam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morey Amsterdam Context triple: [Morey Amsterdam, name, Morey Amsterdam]
-
A.
Morey Amsterdam
chosen
Morey Amsterdam was an American comedian, actor, and writer best known for his quick wit and role as Buddy Sorrell on The Dick Van Dyke Show.
-
B.
The Hotel in Amsterdam
The Hotel in Amsterdam is a stage play by British dramatist John Osborne that explores complex personal relationships and disillusionment among a group of friends gathered in a European hotel.
-
C.
A’DAM
A’DAM is a prominent Amsterdam-based organization and creative hub associated with the city’s dance and electronic music culture.
-
D.
De Pijp
De Pijp is a vibrant, bohemian neighborhood in Amsterdam known for its lively streets, diverse eateries, and the famous Albert Cuyp Market.
-
E.
De Waterkant
De Waterkant is a trendy, historic neighborhood in Cape Town known for its cobbled streets, colorful cottages, and vibrant café and nightlife scene.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae47e99081909d8b5dba97a11988 |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f730745a248190b32c11eeee618864 |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:34 p.m.