Triple
T16034272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Ludwig |
E388926
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object |
Braden
Braden is a fictional character played by Canadian actor Alexander Ludwig, known for his roles in film and television.
|
E1191460
|
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: Braden | Statement: [Alexander Ludwig, portrayed, Braden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Braden Context triple: [Alexander Ludwig, portrayed, Braden]
-
A.
Brayden
Brayden is a masculine given name commonly used in English-speaking countries, often associated with modern, trendy baby naming styles.
-
B.
Braeden
Braeden is the given first name of NHL player Brady Tkachuk, a prominent American-born Canadian ice hockey forward.
-
C.
Brody
Brody is a surname of English and Irish origin borne by various notable individuals across fields such as entertainment, sports, and public life.
-
D.
Brody
Brody is a historic town in western Ukraine that has long served as a strategic military and trade crossroads in the region.
-
E.
Braden Aftergood
Braden Aftergood is a film producer known for his work on independent and genre-driven movies, including the drama "Hesher."
- 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: Braden Triple: [Alexander Ludwig, portrayed, Braden]
Generated description
Braden is a fictional character played by Canadian actor Alexander Ludwig, known for his roles in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Braden Target entity description: Braden is a fictional character played by Canadian actor Alexander Ludwig, known for his roles in film and television.
-
A.
Brayden
Brayden is a masculine given name commonly used in English-speaking countries, often associated with modern, trendy baby naming styles.
-
B.
Braeden
Braeden is the given first name of NHL player Brady Tkachuk, a prominent American-born Canadian ice hockey forward.
-
C.
Brody
Brody is a surname of English and Irish origin borne by various notable individuals across fields such as entertainment, sports, and public life.
-
D.
Brody
Brody is a historic town in western Ukraine that has long served as a strategic military and trade crossroads in the region.
-
E.
Braden Aftergood
Braden Aftergood is a film producer known for his work on independent and genre-driven movies, including the drama "Hesher."
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833a5aa88190a5cc3f82d55f5b62 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd1cafc81909125174eed475d55 |
completed | May 10, 2026, 1:13 a.m. |
| NEDg | Description generation | batch_69ffdd3c77908190b55c926445724348 |
completed | May 10, 2026, 1:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffddfdd3a48190a16dab4d458dc475 |
completed | May 10, 2026, 1:23 a.m. |
Created at: April 10, 2026, 4:56 a.m.