Triple
T1970315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugo Award for Best Fan Artist |
E42782
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object |
Lynda Mannik
Lynda Mannik is a science fiction and fantasy fan artist recognized for her work with the prestigious Hugo Award for Best Fan Artist.
|
E219450
|
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: Lynda Mannik | Statement: [Hugo Award for Best Fan Artist, notableRecipient, Lynda Mannik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lynda Mannik Context triple: [Hugo Award for Best Fan Artist, notableRecipient, Lynda Mannik]
-
A.
Astrid Menks
Astrid Menks is a Latvian-American philanthropist and former cocktail waitress best known as the longtime partner and later wife of billionaire investor Warren Buffett.
-
B.
Jayne-Ann Tenggren
Jayne-Ann Tenggren is a film producer best known for her work on the acclaimed World War I drama "1917."
-
C.
Lana Peters
Lana Peters was the American name of Svetlana Alliluyeva, the daughter of Soviet leader Joseph Stalin who later defected to the West and became a writer.
-
D.
Diandra Luker
Diandra Luker is a film producer and the former wife of American actor Michael Douglas.
-
E.
Carla Mann
Carla Mann was a German actress and the sister of Nobel Prize–winning author Thomas Mann.
- 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: Lynda Mannik Triple: [Hugo Award for Best Fan Artist, notableRecipient, Lynda Mannik]
Generated description
Lynda Mannik is a science fiction and fantasy fan artist recognized for her work with the prestigious Hugo Award for Best Fan Artist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lynda Mannik Target entity description: Lynda Mannik is a science fiction and fantasy fan artist recognized for her work with the prestigious Hugo Award for Best Fan Artist.
-
A.
Astrid Menks
Astrid Menks is a Latvian-American philanthropist and former cocktail waitress best known as the longtime partner and later wife of billionaire investor Warren Buffett.
-
B.
Jayne-Ann Tenggren
Jayne-Ann Tenggren is a film producer best known for her work on the acclaimed World War I drama "1917."
-
C.
Lana Peters
Lana Peters was the American name of Svetlana Alliluyeva, the daughter of Soviet leader Joseph Stalin who later defected to the West and became a writer.
-
D.
Diandra Luker
Diandra Luker is a film producer and the former wife of American actor Michael Douglas.
-
E.
Carla Mann
Carla Mann was a German actress and the sister of Nobel Prize–winning author Thomas Mann.
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3d17274819084cd352a3d2a8151 |
completed | March 7, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbd9a2dc81909f86fdfa9c646dd0 |
completed | March 8, 2026, 10:44 p.m. |
| NEDg | Description generation | batch_69adfc6e40f081909682afd84f4e9338 |
completed | March 8, 2026, 10:47 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adfd9fa4cc81909734a147626da4d1 |
completed | March 8, 2026, 10:52 p.m. |
Created at: March 4, 2026, 7:36 p.m.