Triple
T10782320
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Beaudine |
E254353
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Beaudine
Beaudine is a surname most notably associated with American film director William Beaudine, a highly prolific figure in early Hollywood cinema.
|
E885730
|
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: Beaudine | Statement: [William Beaudine, familyName, Beaudine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beaudine Context triple: [William Beaudine, familyName, Beaudine]
-
A.
Burdinne
Burdinne is a rural municipality in the province of Liège in Wallonia, Belgium, known for its agricultural landscape and small villages.
-
B.
Madisyn
Madisyn is a modern English given name, typically a feminine variant spelling of Madison.
-
C.
Bauline
Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
-
D.
Laudine
Laudine is a noble lady from Arthurian legend, best known as the Lady of the Fountain in Chrétien de Troyes’ romance "Yvain, the Knight of the Lion."
-
E.
Bornette
Bornette is a small river in southeastern France that serves as one of the main tributary inflows to Lake Annecy.
- 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: Beaudine Triple: [William Beaudine, familyName, Beaudine]
Generated description
Beaudine is a surname most notably associated with American film director William Beaudine, a highly prolific figure in early Hollywood cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beaudine Target entity description: Beaudine is a surname most notably associated with American film director William Beaudine, a highly prolific figure in early Hollywood cinema.
-
A.
Burdinne
Burdinne is a rural municipality in the province of Liège in Wallonia, Belgium, known for its agricultural landscape and small villages.
-
B.
Madisyn
Madisyn is a modern English given name, typically a feminine variant spelling of Madison.
-
C.
Bauline
Bauline is a small coastal town in Newfoundland and Labrador, Canada, located on the Avalon Peninsula near St. John’s.
-
D.
Laudine
Laudine is a noble lady from Arthurian legend, best known as the Lady of the Fountain in Chrétien de Troyes’ romance "Yvain, the Knight of the Lion."
-
E.
Bornette
Bornette is a small river in southeastern France that serves as one of the main tributary inflows to Lake Annecy.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732c5618081908f72838ed42ed05c |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de55fbfc70819098eb40cf0d1b9e8c |
completed | April 14, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_69de5eadb9448190bdf69711394e2ab7 |
completed | April 14, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de607917808190922df6521d7bfb07 |
completed | April 14, 2026, 3:42 p.m. |
Created at: April 8, 2026, 9:17 p.m.