Triple
T19663679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Couples |
E472146
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Piet Hanema
Piet Hanema is the central protagonist of John Updike’s novel "Couples," around whose marital and extramarital relationships the book’s exploration of suburban life and sexual mores revolves.
|
E1390537
|
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: Piet Hanema | Statement: [Couples, hasMainCharacter, Piet Hanema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Piet Hanema Context triple: [Couples, hasMainCharacter, Piet Hanema]
-
A.
Piet Kraak
Piet Kraak was a Dutch football goalkeeper who played for the Netherlands national team in the mid-20th century.
-
B.
Piet de Jong
Piet de Jong was a Dutch politician who served as Prime Minister of the Netherlands from 1967 to 1971.
-
C.
Piet Swieter
Piet Swieter is a person known primarily as a notable bearer of the given name Piet.
-
D.
Joop den Uyl
Joop den Uyl was a prominent Dutch Labour Party politician who served as Prime Minister of the Netherlands in the 1970s and became known for his progressive social and economic policies.
-
E.
Carel Kneulman
Carel Kneulman was a Dutch sculptor best known for his public artworks in Amsterdam, including the iconic bronze statue "Het Lieverdje."
- 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: Piet Hanema Triple: [Couples, hasMainCharacter, Piet Hanema]
Generated description
Piet Hanema is the central protagonist of John Updike’s novel "Couples," around whose marital and extramarital relationships the book’s exploration of suburban life and sexual mores revolves.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Piet Hanema Target entity description: Piet Hanema is the central protagonist of John Updike’s novel "Couples," around whose marital and extramarital relationships the book’s exploration of suburban life and sexual mores revolves.
-
A.
Piet Kraak
Piet Kraak was a Dutch football goalkeeper who played for the Netherlands national team in the mid-20th century.
-
B.
Piet de Jong
Piet de Jong was a Dutch politician who served as Prime Minister of the Netherlands from 1967 to 1971.
-
C.
Piet Swieter
Piet Swieter is a person known primarily as a notable bearer of the given name Piet.
-
D.
Joop den Uyl
Joop den Uyl was a prominent Dutch Labour Party politician who served as Prime Minister of the Netherlands in the 1970s and became known for his progressive social and economic policies.
-
E.
Carel Kneulman
Carel Kneulman was a Dutch sculptor best known for his public artworks in Amsterdam, including the iconic bronze statue "Het Lieverdje."
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416671fc81908e25b0477234fa0f |
completed | April 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ab8822888190aac9a3df93b6fa64 |
completed | May 15, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_6a07ac20fb508190bcb9be8e46f9caa9 |
completed | May 15, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ac8aa95c8190894b31ef9ebbf9ae |
completed | May 15, 2026, 11:30 p.m. |
Created at: April 10, 2026, 1:45 p.m.