Triple
T1435094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smith |
E30542
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Kowalski
Kowalski is a surname of Polish origin commonly used in Poland and among Polish diaspora communities.
|
E163517
|
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: Kowalski | Statement: [Smith, hasVariant, Kowalski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kowalski Context triple: [Smith, hasVariant, Kowalski]
-
A.
Matt Kowalski
Matt Kowalski is a veteran NASA astronaut and spacewalker featured as a central character in the science fiction film "Gravity."
-
B.
Karol
Karol is the given name of Pope John Paul II, the Polish-born head of the Catholic Church from 1978 to 2005.
-
C.
Piotr
Piotr is the Polish form of the given name Peter, commonly used in Poland and among Polish-speaking communities.
-
D.
Daniel Dubiecki
Daniel Dubiecki is an American film producer known for his work on acclaimed movies such as "Up in the Air" and other high-profile Hollywood projects.
-
E.
Alexander Gruszynski
Alexander Gruszynski is a Polish-born cinematographer and director known for his work on a variety of feature films and television projects.
- 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: Kowalski Triple: [Smith, hasVariant, Kowalski]
Generated description
Kowalski is a surname of Polish origin commonly used in Poland and among Polish diaspora communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kowalski Target entity description: Kowalski is a surname of Polish origin commonly used in Poland and among Polish diaspora communities.
-
A.
Matt Kowalski
Matt Kowalski is a veteran NASA astronaut and spacewalker featured as a central character in the science fiction film "Gravity."
-
B.
Karol
Karol is the given name of Pope John Paul II, the Polish-born head of the Catholic Church from 1978 to 2005.
-
C.
Piotr
Piotr is the Polish form of the given name Peter, commonly used in Poland and among Polish-speaking communities.
-
D.
Daniel Dubiecki
Daniel Dubiecki is an American film producer known for his work on acclaimed movies such as "Up in the Air" and other high-profile Hollywood projects.
-
E.
Alexander Gruszynski
Alexander Gruszynski is a Polish-born cinematographer and director known for his work on a variety of feature films and television projects.
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c50250b88190a0fcf3e0cbba0b1a |
completed | March 1, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad017084908190a81a784ae4a53c21 |
completed | March 8, 2026, 4:56 a.m. |
| NEDg | Description generation | batch_69ad0259651c8190890e45c1786a9a50 |
completed | March 8, 2026, 5 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad03018aa4819090020ba89a11d0cd |
completed | March 8, 2026, 5:02 a.m. |
Created at: March 1, 2026, 8 p.m.