Triple
T10245703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verne Troyer |
E240205
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Genevieve Gallen
Genevieve Gallen is an American model and former Playboy model best known for her brief marriage to actor Verne Troyer.
|
E899145
|
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: Genevieve Gallen | Statement: [Verne Troyer, spouse, Genevieve Gallen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Genevieve Gallen Context triple: [Verne Troyer, spouse, Genevieve Gallen]
-
A.
Genevieve Hughes
Genevieve Hughes is known primarily as the sister of American Olympic figure skating champion Sarah Hughes.
-
B.
Gillian Hanna
Gillian Hanna was a British actress known for her work in film, television, and theatre, particularly in character roles.
-
C.
Gillian Siddall
Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
-
D.
Catherine Blaiklock
Catherine Blaiklock is a British politician and businesswoman best known as the founder and first leader of the Brexit Party.
-
E.
Gillian Metzger
Gillian Metzger is an American legal scholar and professor known for her influential work in constitutional and administrative law.
- 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: Genevieve Gallen Triple: [Verne Troyer, spouse, Genevieve Gallen]
Generated description
Genevieve Gallen is an American model and former Playboy model best known for her brief marriage to actor Verne Troyer.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Genevieve Gallen Target entity description: Genevieve Gallen is an American model and former Playboy model best known for her brief marriage to actor Verne Troyer.
-
A.
Genevieve Hughes
Genevieve Hughes is known primarily as the sister of American Olympic figure skating champion Sarah Hughes.
-
B.
Gillian Hanna
Gillian Hanna was a British actress known for her work in film, television, and theatre, particularly in character roles.
-
C.
Gillian Siddall
Gillian Siddall is a Canadian academic and university administrator who serves as president of Lakehead University.
-
D.
Catherine Blaiklock
Catherine Blaiklock is a British politician and businesswoman best known as the founder and first leader of the Brexit Party.
-
E.
Gillian Metzger
Gillian Metzger is an American legal scholar and professor known for her influential work in constitutional and administrative law.
- 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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22be0208190b671a4e3f81d11b8 |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3734e5e688190bbfa472547ef65e8 |
completed | April 18, 2026, 12:04 p.m. |
| NEDg | Description generation | batch_69e378dcc92c8190952d4acfee2a309c |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37be75a588190abb9569ef1e87279 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 6, 2026, 11:26 a.m.