Triple
T6785432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilkens |
E155789
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Wilken
Wilken is a surname of German origin borne by various individuals across fields such as sports, academia, and public life.
|
E619107
|
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: Wilken | Statement: [Wilkens, hasVariant, Wilken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilken Context triple: [Wilkens, hasVariant, Wilken]
-
A.
Corwin
Corwin is a surname most notably associated with Jonathan Corwin, a judge involved in the Salem witch trials in 17th-century Massachusetts.
-
B.
Eldred
Eldred is the lesser-known first name of the acclaimed American actor Gregory Peck, a major star of classic Hollywood cinema.
-
C.
Palmore
Palmore is a surname that functions as a variant form of the more common family name Palmer.
-
D.
Willkie
Willkie is the surname most notably associated with Wendell Willkie, the 1940 Republican nominee for President of the United States.
-
E.
Theodore Twombly
Theodore Twombly is the introspective, emotionally sensitive protagonist of the film "Her," who develops a complex romantic relationship with an advanced operating system.
- 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: Wilken Triple: [Wilkens, hasVariant, Wilken]
Generated description
Wilken is a surname of German origin borne by various individuals across fields such as sports, academia, and public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wilken Target entity description: Wilken is a surname of German origin borne by various individuals across fields such as sports, academia, and public life.
-
A.
Corwin
Corwin is a surname most notably associated with Jonathan Corwin, a judge involved in the Salem witch trials in 17th-century Massachusetts.
-
B.
Eldred
Eldred is the lesser-known first name of the acclaimed American actor Gregory Peck, a major star of classic Hollywood cinema.
-
C.
Palmore
Palmore is a surname that functions as a variant form of the more common family name Palmer.
-
D.
Willkie
Willkie is the surname most notably associated with Wendell Willkie, the 1940 Republican nominee for President of the United States.
-
E.
Theodore Twombly
Theodore Twombly is the introspective, emotionally sensitive protagonist of the film "Her," who develops a complex romantic relationship with an advanced operating system.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d28de0348190998751fd546bfd02 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a84c0c48190be87bff2da4e69a1 |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71b4c14fc8190bbe37473d48284ff |
completed | March 28, 2026, 12:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71bc1d09881908496cddec4b6248a |
completed | March 28, 2026, 12:07 a.m. |
Created at: March 27, 2026, 2:14 p.m.