Triple
T20121625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Izabella Scorupco |
E490621
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Jeffrey Raymond
Jeffrey Raymond is best known as the former husband of Polish-Swedish actress and model Izabella Scorupco.
|
E1443500
|
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: Jeffrey Raymond | Statement: [Izabella Scorupco, spouse, Jeffrey Raymond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Raymond Context triple: [Izabella Scorupco, spouse, Jeffrey Raymond]
-
A.
Jeffrey Lynn
Jeffrey Lynn was an American film and stage actor best known for his roles in 1930s and 1940s Hollywood dramas and romances.
-
B.
Jeffrey Heath
Jeffrey Heath is a linguist renowned for his extensive fieldwork and documentation of Dogon and other African languages.
-
C.
Jeffrey Byron
Jeffrey Byron is an American actor known for his work in film and television since the 1960s, including roles in genre and action productions.
-
D.
Jeffrey Winston
Jeffrey Winston is known as the former husband of American actress Debbi Morgan.
-
E.
John Jeffrey
John Jeffrey was a 19th-century Scottish botanist and plant collector known for his explorations in western North America, where he documented and introduced numerous conifer species.
- 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: Jeffrey Raymond Triple: [Izabella Scorupco, spouse, Jeffrey Raymond]
Generated description
Jeffrey Raymond is best known as the former husband of Polish-Swedish actress and model Izabella Scorupco.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Raymond Target entity description: Jeffrey Raymond is best known as the former husband of Polish-Swedish actress and model Izabella Scorupco.
-
A.
Jeffrey Lynn
Jeffrey Lynn was an American film and stage actor best known for his roles in 1930s and 1940s Hollywood dramas and romances.
-
B.
Jeffrey Heath
Jeffrey Heath is a linguist renowned for his extensive fieldwork and documentation of Dogon and other African languages.
-
C.
Jeffrey Byron
Jeffrey Byron is an American actor known for his work in film and television since the 1960s, including roles in genre and action productions.
-
D.
Jeffrey Winston
Jeffrey Winston is known as the former husband of American actress Debbi Morgan.
-
E.
John Jeffrey
John Jeffrey was a 19th-century Scottish botanist and plant collector known for his explorations in western North America, where he documented and introduced numerous conifer species.
- 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_69da62636cc08190982cc71733a17b8d |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6673e79dc81908fbd387c067fce79 |
completed | April 20, 2026, 5:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08cd443d9c81909c06d2ebfa37c384 |
completed | May 16, 2026, 8:02 p.m. |
| NEDg | Description generation | batch_6a08d174278481909db394da2a7ff969 |
completed | May 16, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08d28e02fc8190ab694673156ab0c0 |
completed | May 16, 2026, 8:24 p.m. |
Created at: April 11, 2026, 11:30 p.m.