Triple
T12355587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patten |
E294602
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Eve Patten
Eve Patten is an Irish literary scholar and critic known for her work on modern and contemporary Irish literature and culture.
|
E1031879
|
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: Eve Patten | Statement: [Patten, hasNotableBearer, Eve Patten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eve Patten Context triple: [Patten, hasNotableBearer, Eve Patten]
-
A.
Eve Trowbridge
Eve Trowbridge is the resourceful female protagonist in the 1932 adventure-horror film "The Most Dangerous Game," who becomes entangled in a deadly hunt on a remote island.
-
B.
Eve Baird
Eve Baird is a tough, tactical former NATO counter-terrorism agent who becomes the guardian and leader of a group of magical scholars in the fantasy-adventure TV series "The Librarians."
-
C.
Eileen Morrow
Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
-
D.
Evelyn Patrick
Evelyn Patrick was the wife of American comedian and actor Phil Silvers, known for his role as Sergeant Bilko.
-
E.
Evelyn O'Neill
Evelyn O'Neill is a film producer best known for her work on acclaimed independent movies such as the coming-of-age drama "Lady Bird."
- 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: Eve Patten Triple: [Patten, hasNotableBearer, Eve Patten]
Generated description
Eve Patten is an Irish literary scholar and critic known for her work on modern and contemporary Irish literature and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eve Patten Target entity description: Eve Patten is an Irish literary scholar and critic known for her work on modern and contemporary Irish literature and culture.
-
A.
Eve Trowbridge
Eve Trowbridge is the resourceful female protagonist in the 1932 adventure-horror film "The Most Dangerous Game," who becomes entangled in a deadly hunt on a remote island.
-
B.
Eve Baird
Eve Baird is a tough, tactical former NATO counter-terrorism agent who becomes the guardian and leader of a group of magical scholars in the fantasy-adventure TV series "The Librarians."
-
C.
Eileen Morrow
Eileen Morrow is a person notable enough to be recognized as a significant bearer of the surname Morrow.
-
D.
Evelyn Patrick
Evelyn Patrick was the wife of American comedian and actor Phil Silvers, known for his role as Sergeant Bilko.
-
E.
Evelyn O'Neill
Evelyn O'Neill is a film producer best known for her work on acclaimed independent movies such as the coming-of-age drama "Lady Bird."
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f8bc60c8190b0ceb84093e70db4 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716afa8008190b4c518dd6004d87a |
completed | May 3, 2026, 9:34 a.m. |
| NEDg | Description generation | batch_69f7179da5488190a10acadbf60ea470 |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f71847e7308190ac6f59a7dcafa452 |
completed | May 3, 2026, 9:41 a.m. |
Created at: April 8, 2026, 9:54 p.m.