Triple
T9567808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duggan |
E230832
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Anne Duggan
Anne Duggan is a scholar and academic known for her contributions to the study of medieval history and canon law.
|
E850476
|
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: Anne Duggan | Statement: [Duggan, hasNotableBearer, Anne Duggan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anne Duggan Context triple: [Duggan, hasNotableBearer, Anne Duggan]
-
A.
Elizabeth McLaughlin
Elizabeth McLaughlin is an American actress known for her roles in television series such as the psychological drama "Hand of God."
-
B.
Roz Doyle
Roz Doyle is a sharp-tongued, witty radio producer and close friend of Frasier Crane on the television sitcom "Frasier."
-
C.
Ruth McCabe
Ruth McCabe is an Irish actress known for her work in film, television, and theatre, including roles in acclaimed dramas such as "Philomena."
-
D.
Mary Cleary
Mary Cleary was the wife of Commodore John Barry, an early U.S. naval officer often called the "Father of the American Navy."
-
E.
Mary Durkan
Mary Durkan is an Irish politician known for her involvement in local and national public 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: Anne Duggan Triple: [Duggan, hasNotableBearer, Anne Duggan]
Generated description
Anne Duggan is a scholar and academic known for her contributions to the study of medieval history and canon law.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anne Duggan Target entity description: Anne Duggan is a scholar and academic known for her contributions to the study of medieval history and canon law.
-
A.
Elizabeth McLaughlin
Elizabeth McLaughlin is an American actress known for her roles in television series such as the psychological drama "Hand of God."
-
B.
Roz Doyle
Roz Doyle is a sharp-tongued, witty radio producer and close friend of Frasier Crane on the television sitcom "Frasier."
-
C.
Ruth McCabe
Ruth McCabe is an Irish actress known for her work in film, television, and theatre, including roles in acclaimed dramas such as "Philomena."
-
D.
Mary Cleary
Mary Cleary was the wife of Commodore John Barry, an early U.S. naval officer often called the "Father of the American Navy."
-
E.
Mary Durkan
Mary Durkan is an Irish politician known for her involvement in local and national public 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_69ca847f22188190a56e4a97625bef22 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9987cb0c8190af32a1193de54890 |
completed | April 1, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a77b6fac81909a9b0998f5dd1e58 |
completed | April 8, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69d6aac2dc4c819088a8c29d604cf9ce |
completed | April 8, 2026, 7:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d6d02015bc8190a7041a7d725c8a1b |
completed | April 8, 2026, 10:01 p.m. |
Created at: March 30, 2026, 8:04 p.m.