Triple
T9971928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernhard Langer |
E196227
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Vikki Langer
Vikki Langer is the wife of German professional golfer Bernhard Langer and a longtime supportive partner in his family and charitable endeavors.
|
E836005
|
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: Vikki Langer | Statement: [Bernhard Langer, spouse, Vikki Langer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vikki Langer Context triple: [Bernhard Langer, spouse, Vikki Langer]
-
A.
Mary Langer
Mary Langer is known primarily as the daughter of American historian and former U.S. Assistant Secretary of State William Langer.
-
B.
Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
-
C.
Linda Fennimore
Linda Fennimore is an artist best known for creating the cover art for Stephen King’s horror novel "Pet Sematary."
-
D.
Vicki Gill
Vicki Gill is a costume designer known for her work on the film "Sid and Nancy."
-
E.
Lynn Bari
Lynn Bari was an American film and television actress known for her sultry screen presence and frequent roles as the glamorous "other woman" in 1940s Hollywood movies.
- 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: Vikki Langer Triple: [Bernhard Langer, spouse, Vikki Langer]
Generated description
Vikki Langer is the wife of German professional golfer Bernhard Langer and a longtime supportive partner in his family and charitable endeavors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vikki Langer Target entity description: Vikki Langer is the wife of German professional golfer Bernhard Langer and a longtime supportive partner in his family and charitable endeavors.
-
A.
Mary Langer
Mary Langer is known primarily as the daughter of American historian and former U.S. Assistant Secretary of State William Langer.
-
B.
Vicki Sirotta
Vicki Sirotta is a film producer best known for her work on the horror-thriller movie "The Prophecy."
-
C.
Linda Fennimore
Linda Fennimore is an artist best known for creating the cover art for Stephen King’s horror novel "Pet Sematary."
-
D.
Vicki Gill
Vicki Gill is a costume designer known for her work on the film "Sid and Nancy."
-
E.
Lynn Bari
Lynn Bari was an American film and television actress known for her sultry screen presence and frequent roles as the glamorous "other woman" in 1940s Hollywood movies.
- 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_69ca82eea2b88190a0e511d21a31f386 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb7bb03688190a3f4fc1988b8fafa |
completed | April 2, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a08a60c81909be30a442787328b |
completed | April 5, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_69d26b6d52e8819082fed0bfdaf48e4c |
completed | April 5, 2026, 2:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d26c3d5f2081909bf1a1565b66eca9 |
completed | April 5, 2026, 2:05 p.m. |
Created at: March 30, 2026, 8:48 p.m.