Triple
T5317226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Larkin |
E121580
|
entity |
| Predicate | hasPartner |
P1136
|
FINISHED |
| Object |
Maeve Brennan
Maeve Brennan was a British librarian and writer best known as the longtime companion and muse of poet Philip Larkin.
|
E510487
|
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: Maeve Brennan | Statement: [Philip Larkin, hasPartner, Maeve Brennan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maeve Brennan Context triple: [Philip Larkin, hasPartner, Maeve Brennan]
-
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.
Maeve Cooke
Maeve Cooke is an Irish philosopher known for her work in critical social theory, democratic theory, and the philosophy of language, often engaging with and developing themes from contemporary German philosophy.
-
C.
Eileen Ryan
Eileen Ryan was an American actress known for her character roles in film and television and as the mother of actor and director Sean Penn.
-
D.
Teresa Hennessy
Teresa Hennessy is the child of Tamar Teresa Day Hennessy.
-
E.
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."
- 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: Maeve Brennan Triple: [Philip Larkin, hasPartner, Maeve Brennan]
Generated description
Maeve Brennan was a British librarian and writer best known as the longtime companion and muse of poet Philip Larkin.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Maeve Brennan Target entity description: Maeve Brennan was a British librarian and writer best known as the longtime companion and muse of poet Philip Larkin.
-
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.
Maeve Cooke
Maeve Cooke is an Irish philosopher known for her work in critical social theory, democratic theory, and the philosophy of language, often engaging with and developing themes from contemporary German philosophy.
-
C.
Eileen Ryan
Eileen Ryan was an American actress known for her character roles in film and television and as the mother of actor and director Sean Penn.
-
D.
Teresa Hennessy
Teresa Hennessy is the child of Tamar Teresa Day Hennessy.
-
E.
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."
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd854fd07c8190b4f1c3c8e618c308 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf1111f104819094d7646dec32fad2 |
completed | March 21, 2026, 9:43 p.m. |
| NEDg | Description generation | batch_69bf11a601c481908a8cb6ea2c04d6df |
completed | March 21, 2026, 9:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf127799208190a47580ed7b9ad550 |
completed | March 21, 2026, 9:49 p.m. |
Created at: March 20, 2026, 1:59 p.m.