Triple
T11975315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Ernst |
E285024
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Dallas Ernst
Dallas Ernst is known primarily as the spouse of German-American abstract surrealist painter Jimmy Ernst.
|
E957286
|
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: Dallas Ernst | Statement: [Jimmy Ernst, spouse, Dallas Ernst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dallas Ernst Context triple: [Jimmy Ernst, spouse, Dallas Ernst]
-
A.
Tod Leiweke
Tod Leiweke is an American sports executive known for leading and developing major professional franchises, including serving as CEO and part-owner of the NHL’s Seattle Kraken.
-
B.
Mark Levengood
Mark Levengood is a Finnish-Swedish television host, journalist, and author known for his warm, humorous style and prominent presence in Swedish media.
-
C.
Mike Banning
Mike Banning is the fictional Secret Service agent protagonist of the "Has Fallen" action film series, known for protecting the U.S. president in high-stakes terrorist attacks.
-
D.
Kevin Stitt
Kevin Stitt is a film editor best known for his work on major Hollywood productions, including the blockbuster Jurassic World.
-
E.
Kevin Stitt
Kevin Stitt is an American businessman and Republican politician serving as the governor of Oklahoma.
- 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: Dallas Ernst Triple: [Jimmy Ernst, spouse, Dallas Ernst]
Generated description
Dallas Ernst is known primarily as the spouse of German-American abstract surrealist painter Jimmy Ernst.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dallas Ernst Target entity description: Dallas Ernst is known primarily as the spouse of German-American abstract surrealist painter Jimmy Ernst.
-
A.
Tod Leiweke
Tod Leiweke is an American sports executive known for leading and developing major professional franchises, including serving as CEO and part-owner of the NHL’s Seattle Kraken.
-
B.
Mark Levengood
Mark Levengood is a Finnish-Swedish television host, journalist, and author known for his warm, humorous style and prominent presence in Swedish media.
-
C.
Mike Banning
Mike Banning is the fictional Secret Service agent protagonist of the "Has Fallen" action film series, known for protecting the U.S. president in high-stakes terrorist attacks.
-
D.
Kevin Stitt
Kevin Stitt is a film editor best known for his work on major Hollywood productions, including the blockbuster Jurassic World.
-
E.
Kevin Stitt
Kevin Stitt is an American businessman and Republican politician serving as the governor of Oklahoma.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903926690819090e7ce982f103457 |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4598d62a8819087f83912d1e45b27 |
completed | May 1, 2026, 7:43 a.m. |
| NEDg | Description generation | batch_69f45f8b1bc0819099574002cc131000 |
completed | May 1, 2026, 8:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f464ad85ac8190ae49f19cedb7d88a |
completed | May 1, 2026, 8:30 a.m. |
Created at: April 8, 2026, 9:46 p.m.