Triple
T12695145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Pleeth |
E303312
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Pleeth
Pleeth is a surname most notably associated with William Pleeth, a distinguished British cellist and influential cello teacher.
|
E998262
|
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: Pleeth | Statement: [William Pleeth, familyName, Pleeth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pleeth Context triple: [William Pleeth, familyName, Pleeth]
-
A.
Neebe
Neebe is a surname most notably associated with Oscar Neebe, an American labor activist and one of the defendants in the 1886 Haymarket affair.
-
B.
Pooncarie
Pooncarie is a small rural town in far south-west New South Wales, Australia, known for its remote outback setting and proximity to the Darling River.
-
C.
Penneru
Penneru is an alternate name for the Penna River, a major river flowing through the southern Indian states of Andhra Pradesh and Karnataka.
-
D.
Eliassen
Eliassen is a Norwegian surname borne by various notable figures, including scientists, athletes, and public personalities.
-
E.
Collip
Collip is a surname most notably associated with James Collip, a Canadian biochemist who was part of the team that developed insulin as a treatment for diabetes.
- 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: Pleeth Triple: [William Pleeth, familyName, Pleeth]
Generated description
Pleeth is a surname most notably associated with William Pleeth, a distinguished British cellist and influential cello teacher.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pleeth Target entity description: Pleeth is a surname most notably associated with William Pleeth, a distinguished British cellist and influential cello teacher.
-
A.
Neebe
Neebe is a surname most notably associated with Oscar Neebe, an American labor activist and one of the defendants in the 1886 Haymarket affair.
-
B.
Pooncarie
Pooncarie is a small rural town in far south-west New South Wales, Australia, known for its remote outback setting and proximity to the Darling River.
-
C.
Penneru
Penneru is an alternate name for the Penna River, a major river flowing through the southern Indian states of Andhra Pradesh and Karnataka.
-
D.
Eliassen
Eliassen is a Norwegian surname borne by various notable figures, including scientists, athletes, and public personalities.
-
E.
Collip
Collip is a surname most notably associated with James Collip, a Canadian biochemist who was part of the team that developed insulin as a treatment for diabetes.
- 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_69d7bdef90d48190b46b88270e780946 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961ebd17081909f983567e4b36533 |
completed | April 10, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671ae935c8190a7fc2cf3c0987248 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6740129688190b286ce7acb4848c7 |
completed | May 2, 2026, 10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f675249d248190933421df49d3a2ab |
completed | May 2, 2026, 10:05 p.m. |
Created at: April 9, 2026, 5:22 p.m.