Triple
T719851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Letterman |
E14391
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Regina Lasko
Regina Lasko is an American television production manager best known as the longtime partner and wife of late-night talk show host David Letterman.
|
E109583
|
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: Regina Lasko | Statement: [David Letterman, spouse, Regina Lasko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regina Lasko Context triple: [David Letterman, spouse, Regina Lasko]
-
A.
Rena Lalgie
Rena Lalgie is a British civil servant who became the first Black woman to serve as Governor of Bermuda.
-
B.
Karla Saaranen
Karla Saaranen is a central, enigmatic love interest and morally complex figure in Gregory David Roberts' novel "Shantaram," deeply involved in the expatriate and criminal underworld of Bombay.
-
C.
Cecilia Nessen
Cecilia Nessen is a film producer best known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
-
D.
Colleen Sostorics
Colleen Sostorics is a Canadian former ice hockey defenceman and three-time Olympic gold medallist who starred with the national women’s team.
-
E.
Lila Hotz
Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
- 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: Regina Lasko Triple: [David Letterman, spouse, Regina Lasko]
Generated description
Regina Lasko is an American television production manager best known as the longtime partner and wife of late-night talk show host David Letterman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Regina Lasko Target entity description: Regina Lasko is an American television production manager best known as the longtime partner and wife of late-night talk show host David Letterman.
-
A.
Rena Lalgie
Rena Lalgie is a British civil servant who became the first Black woman to serve as Governor of Bermuda.
-
B.
Karla Saaranen
Karla Saaranen is a central, enigmatic love interest and morally complex figure in Gregory David Roberts' novel "Shantaram," deeply involved in the expatriate and criminal underworld of Bombay.
-
C.
Cecilia Nessen
Cecilia Nessen is a film producer best known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
-
D.
Colleen Sostorics
Colleen Sostorics is a Canadian former ice hockey defenceman and three-time Olympic gold medallist who starred with the national women’s team.
-
E.
Lila Hotz
Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
- 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_69a4934a36e081909e7abef98b898a4e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a58e65e8819098cba7e6a20d8f33 |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7edf6b02c8190995c50a98b4ec326 |
completed | March 4, 2026, 8:31 a.m. |
| NEDg | Description generation | batch_69a7f1cc03b48190a291ca9c20646648 |
completed | March 4, 2026, 8:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7f26264d48190ad04ee855523fcc1 |
completed | March 4, 2026, 8:50 a.m. |
Created at: March 1, 2026, 7:37 p.m.