Triple
T8085384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patterson |
E188718
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Patrickson
Patrickson is a surname that functions as a variant form of the more common family name Patterson.
|
E711644
|
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: Patrickson | Statement: [Patterson, hasVariant, Patrickson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patrickson Context triple: [Patterson, hasVariant, Patrickson]
-
A.
Payton
Payton is the surname of Sean Payton, a prominent American football coach best known for his long tenure with the New Orleans Saints.
-
B.
Jordy
Jordy is a minor character in the TV series "Buffy the Vampire Slayer," known as the young relative whose bite causes Daniel "Oz" Osbourne to become a werewolf.
-
C.
Faulk
Faulk is a surname most prominently associated with Pro Football Hall of Fame running back Marshall Faulk.
-
D.
Payton Chester
Payton Chester was a young basketball player and one of the nine people, including Kobe Bryant, who tragically died in the 2020 Calabasas helicopter crash.
-
E.
Patrick Kilpatrick
Patrick Kilpatrick is an American character actor, stuntman, and producer best known for his frequent villain roles in action films and television series.
- 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: Patrickson Triple: [Patterson, hasVariant, Patrickson]
Generated description
Patrickson is a surname that functions as a variant form of the more common family name Patterson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patrickson Target entity description: Patrickson is a surname that functions as a variant form of the more common family name Patterson.
-
A.
Payton
Payton is the surname of Sean Payton, a prominent American football coach best known for his long tenure with the New Orleans Saints.
-
B.
Jordy
Jordy is a minor character in the TV series "Buffy the Vampire Slayer," known as the young relative whose bite causes Daniel "Oz" Osbourne to become a werewolf.
-
C.
Faulk
Faulk is a surname most prominently associated with Pro Football Hall of Fame running back Marshall Faulk.
-
D.
Payton Chester
Payton Chester was a young basketball player and one of the nine people, including Kobe Bryant, who tragically died in the 2020 Calabasas helicopter crash.
-
E.
Patrick Kilpatrick
Patrick Kilpatrick is an American character actor, stuntman, and producer best known for his frequent villain roles in action films and television series.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb415f73808190b69db386b447062e |
completed | March 31, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc6402e41c819095442775938d4282 |
completed | April 1, 2026, 12:17 a.m. |
| NEDg | Description generation | batch_69cc68647cec81909736383fbe73d2e8 |
completed | April 1, 2026, 12:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc69b93bbc8190be2338182dd57b17 |
completed | April 1, 2026, 12:41 a.m. |
Created at: March 30, 2026, 5:29 p.m.