Triple
T16078799
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur B. Krim |
E390044
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Krim
Krim is a surname most notably associated with Arthur B. Krim, an influential American entertainment lawyer, film executive, and political figure.
|
E1192613
|
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: Krim | Statement: [Arthur B. Krim, familyName, Krim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krim Context triple: [Arthur B. Krim, familyName, Krim]
-
A.
Krioyo
Krioyo is an ethnonym referring to Creole Surinamese people of mixed African and European descent in Suriname.
-
B.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
C.
Murck
Murck is a character in Bertolt Brecht’s early expressionist play "Drums in the Night," which explores post–World War I disillusionment and social unrest.
-
D.
Krupina
Krupina is a historic town in central Slovakia known as one of the oldest royal towns in the country.
-
E.
Golymin
Golymin is a village in east-central Poland best known as the site of a significant engagement during the Napoleonic Wars.
- 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: Krim Triple: [Arthur B. Krim, familyName, Krim]
Generated description
Krim is a surname most notably associated with Arthur B. Krim, an influential American entertainment lawyer, film executive, and political figure.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Krim Target entity description: Krim is a surname most notably associated with Arthur B. Krim, an influential American entertainment lawyer, film executive, and political figure.
-
A.
Krioyo
Krioyo is an ethnonym referring to Creole Surinamese people of mixed African and European descent in Suriname.
-
B.
Yunaska
Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
-
C.
Murck
Murck is a character in Bertolt Brecht’s early expressionist play "Drums in the Night," which explores post–World War I disillusionment and social unrest.
-
D.
Krupina
Krupina is a historic town in central Slovakia known as one of the oldest royal towns in the country.
-
E.
Golymin
Golymin is a village in east-central Poland best known as the site of a significant engagement during the Napoleonic Wars.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183c401a881908fcb0b753d2dfc8a |
completed | April 17, 2026, 12:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe48907148190ab04520717141788 |
completed | May 10, 2026, 1:51 a.m. |
| NEDg | Description generation | batch_69ffe67043588190864864d40956682b |
completed | May 10, 2026, 1:59 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffe6f510cc8190b6b8c46c0356d36a |
completed | May 10, 2026, 2:01 a.m. |
Created at: April 10, 2026, 4:57 a.m.