Triple
T14321379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Flanagan |
E355096
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Majda Flanagan
Majda Flanagan is the wife of acclaimed Tasmanian novelist and filmmaker Richard Flanagan.
|
E1093673
|
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: Majda Flanagan | Statement: [Richard Flanagan, spouse, Majda Flanagan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Majda Flanagan Context triple: [Richard Flanagan, spouse, Majda Flanagan]
-
A.
Crista Flanagan
Crista Flanagan is an American actress and comedian best known for her work on the sketch series MADtv and appearances in parody films.
-
B.
Francie Nolan
Francie Nolan is the introspective, resilient young heroine and narrator of Betty Smith’s novel "A Tree Grows in Brooklyn," growing up in poverty in early 20th-century Brooklyn.
-
C.
Michelle Mangan
Michelle Mangan is an American television personality and former real estate agent best known as the wife of former Major League Baseball outfielder Johnny Damon.
-
D.
Arlene Vrhel
Arlene Vrhel is an American restaurateur best known as the longtime wife of actor Joe Mantegna.
-
E.
Paula Dobriansky
Paula Dobriansky is an American foreign policy expert and diplomat who has held several senior U.S. government positions, particularly in European and democracy-promotion affairs.
- 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: Majda Flanagan Triple: [Richard Flanagan, spouse, Majda Flanagan]
Generated description
Majda Flanagan is the wife of acclaimed Tasmanian novelist and filmmaker Richard Flanagan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Majda Flanagan Target entity description: Majda Flanagan is the wife of acclaimed Tasmanian novelist and filmmaker Richard Flanagan.
-
A.
Crista Flanagan
Crista Flanagan is an American actress and comedian best known for her work on the sketch series MADtv and appearances in parody films.
-
B.
Francie Nolan
Francie Nolan is the introspective, resilient young heroine and narrator of Betty Smith’s novel "A Tree Grows in Brooklyn," growing up in poverty in early 20th-century Brooklyn.
-
C.
Michelle Mangan
Michelle Mangan is an American television personality and former real estate agent best known as the wife of former Major League Baseball outfielder Johnny Damon.
-
D.
Arlene Vrhel
Arlene Vrhel is an American restaurateur best known as the longtime wife of actor Joe Mantegna.
-
E.
Paula Dobriansky
Paula Dobriansky is an American foreign policy expert and diplomat who has held several senior U.S. government positions, particularly in European and democracy-promotion affairs.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883bf71c8190a9a092a025cf98f0 |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd468e263c81909d7261bcfd949579 |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd4811e2808190b559d8348079ae8f |
completed | May 8, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd48d827488190b4a494d4da64ba51 |
completed | May 8, 2026, 2:22 a.m. |
Created at: April 10, 2026, 1:13 a.m.