Triple
T12730217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gary Waldhorn |
E304213
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Christina Waldhorn
Christina Waldhorn is known as the wife of the late British actor Gary Waldhorn, recognized for his work in television, film, and theatre.
|
E1016992
|
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: Christina Waldhorn | Statement: [Gary Waldhorn, spouse, Christina Waldhorn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christina Waldhorn Context triple: [Gary Waldhorn, spouse, Christina Waldhorn]
-
A.
Christina Steinberg
Christina Steinberg is an American film producer best known for her work on acclaimed animated features, including the Oscar-winning "Spider-Man: Into the Spider-Verse."
-
B.
Christine Kaufmann
Christine Kaufmann was a German-Austrian actress and author who gained international fame as a child star and later became known for her work in European cinema and television.
-
C.
Stefanie Ehrlich
Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
-
D.
Christine Kuehbeck
Christine Kuehbeck is a former model best known as the wife of American investigative journalist and author Carl Bernstein.
-
E.
Heather Wielandt
Heather Wielandt is known as the former spouse of American actor Titus Welliver.
- 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: Christina Waldhorn Triple: [Gary Waldhorn, spouse, Christina Waldhorn]
Generated description
Christina Waldhorn is known as the wife of the late British actor Gary Waldhorn, recognized for his work in television, film, and theatre.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Christina Waldhorn Target entity description: Christina Waldhorn is known as the wife of the late British actor Gary Waldhorn, recognized for his work in television, film, and theatre.
-
A.
Christina Steinberg
Christina Steinberg is an American film producer best known for her work on acclaimed animated features, including the Oscar-winning "Spider-Man: Into the Spider-Verse."
-
B.
Christine Kaufmann
Christine Kaufmann was a German-Austrian actress and author who gained international fame as a child star and later became known for her work in European cinema and television.
-
C.
Stefanie Ehrlich
Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
-
D.
Christine Kuehbeck
Christine Kuehbeck is a former model best known as the wife of American investigative journalist and author Carl Bernstein.
-
E.
Heather Wielandt
Heather Wielandt is known as the former spouse of American actor Titus Welliver.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96467a2248190aff1ebb5db84b3c6 |
completed | April 10, 2026, 8:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbb4d0088190b71fc0573cd40ddd |
completed | May 3, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69f6cd0d21e08190855dcbee000fc25d |
completed | May 3, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6ce6b220c8190b1f49a9b2bfce692 |
completed | May 3, 2026, 4:26 a.m. |
Created at: April 9, 2026, 5:25 p.m.