Triple
T14365676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Wynn |
E356225
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Frieda Mierse
Frieda Mierse was the wife of American comedian and actor Ed Wynn.
|
E1107549
|
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: Frieda Mierse | Statement: [Ed Wynn, spouse, Frieda Mierse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frieda Mierse Context triple: [Ed Wynn, spouse, Frieda Mierse]
-
A.
Madelon Vriesendorp
Madelon Vriesendorp is a Dutch artist and illustrator best known for her influential architectural drawings and co-founding role in the Office for Metropolitan Architecture (OMA).
-
B.
Edith Schippers
Edith Schippers is a Dutch politician who served as Minister of Health, Welfare and Sport and is a prominent member of the People's Party for Freedom and Democracy (VVD).
-
C.
Hilda Verhagen
Hilda Verhagen is a person notable enough to be recognized as a prominent bearer of the surname Verhagen.
-
D.
Renée Soutendijk
Renée Soutendijk is a Dutch actress known for her work in European cinema and television, particularly for her roles in psychological thrillers and art-house films.
-
E.
Ilse DeLange
Ilse DeLange is a Dutch country and pop singer-songwriter and television personality known for her successful music career and prominent role on talent shows.
- 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: Frieda Mierse Triple: [Ed Wynn, spouse, Frieda Mierse]
Generated description
Frieda Mierse was the wife of American comedian and actor Ed Wynn.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Frieda Mierse Target entity description: Frieda Mierse was the wife of American comedian and actor Ed Wynn.
-
A.
Madelon Vriesendorp
Madelon Vriesendorp is a Dutch artist and illustrator best known for her influential architectural drawings and co-founding role in the Office for Metropolitan Architecture (OMA).
-
B.
Edith Schippers
Edith Schippers is a Dutch politician who served as Minister of Health, Welfare and Sport and is a prominent member of the People's Party for Freedom and Democracy (VVD).
-
C.
Hilda Verhagen
Hilda Verhagen is a person notable enough to be recognized as a prominent bearer of the surname Verhagen.
-
D.
Renée Soutendijk
Renée Soutendijk is a Dutch actress known for her work in European cinema and television, particularly for her roles in psychological thrillers and art-house films.
-
E.
Ilse DeLange
Ilse DeLange is a Dutch country and pop singer-songwriter and television personality known for her successful music career and prominent role on talent shows.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fad48748190a0f34ca4d02f9a3c |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd94a018c88190b4fdbf36687ad973 |
completed | May 8, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69fd951e076481909e10e41ce8a54c1d |
completed | May 8, 2026, 7:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd959a6a74819096ee02b9f6fe227b |
completed | May 8, 2026, 7:49 a.m. |
Created at: April 10, 2026, 1:15 a.m.