Triple
T3398712
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flanagan |
E71593
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Joan Flanagan
Joan Flanagan is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Flanagan.
|
E366954
|
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: Joan Flanagan | Statement: [Flanagan, hasNotableBearer, Joan Flanagan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joan Flanagan Context triple: [Flanagan, hasNotableBearer, Joan Flanagan]
-
A.
Joan Murray
Joan Murray was the wife of famed British World War II flying ace and double amputee Sir Douglas Bader.
-
B.
Joan Felt
Joan Felt is the daughter of former FBI Associate Director and Watergate whistleblower Mark Felt, who later helped reveal his identity as "Deep Throat."
-
C.
Elizabeth Flanagan
Elizabeth Flanagan was the wife of C. Everett Koop, the prominent U.S. Surgeon General known for his influential public health advocacy.
-
D.
Joan Haverty
Joan Haverty was an American woman best known as the second wife of Beat Generation writer Jack Kerouac and the mother of his only acknowledged child, Jan Kerouac.
-
E.
Joan Barclay
Joan Barclay was an American film actress known for her numerous roles in low-budget Westerns and B-movies during the 1930s and 1940s.
- 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: Joan Flanagan Triple: [Flanagan, hasNotableBearer, Joan Flanagan]
Generated description
Joan Flanagan is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Flanagan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Joan Flanagan Target entity description: Joan Flanagan is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Flanagan.
-
A.
Joan Murray
Joan Murray was the wife of famed British World War II flying ace and double amputee Sir Douglas Bader.
-
B.
Joan Felt
Joan Felt is the daughter of former FBI Associate Director and Watergate whistleblower Mark Felt, who later helped reveal his identity as "Deep Throat."
-
C.
Elizabeth Flanagan
Elizabeth Flanagan was the wife of C. Everett Koop, the prominent U.S. Surgeon General known for his influential public health advocacy.
-
D.
Joan Haverty
Joan Haverty was an American woman best known as the second wife of Beat Generation writer Jack Kerouac and the mother of his only acknowledged child, Jan Kerouac.
-
E.
Joan Barclay
Joan Barclay was an American film actress known for her numerous roles in low-budget Westerns and B-movies during the 1930s and 1940s.
- 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_69ad85aac4808190a092c9cc8911f584 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb8c5816881909f91e6e9b81d29e3 |
completed | March 8, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bb30b708190ab06280feea59eaf |
completed | March 13, 2026, 3:59 a.m. |
| NEDg | Description generation | batch_69b38c4bf12081909212743357a9decf |
completed | March 13, 2026, 4:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38cb872948190a75bc6d6829187c5 |
completed | March 13, 2026, 4:04 a.m. |
Created at: March 8, 2026, 3:14 p.m.