Triple
T2124340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toy Story |
E46393
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object |
Erik von Detten
Erik von Detten is an American actor best known for his work in popular 1990s and 2000s films and television series, including notable voice roles in animated features.
|
E236464
|
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: Erik von Detten | Statement: [Toy Story, voiceActor, Erik von Detten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erik von Detten Context triple: [Toy Story, voiceActor, Erik von Detten]
-
A.
Kyle Neptune
Kyle Neptune is an American college basketball coach best known for leading the Villanova Wildcats men's basketball program.
-
B.
Robby Mook
Robby Mook is an American political strategist best known for serving as campaign manager for Hillary Clinton’s 2016 U.S. presidential campaign.
-
C.
Luke Rowan
Luke Rowan is a fictional character from the works of 19th-century English novelist Anthony Trollope.
-
D.
Tobias Stansbury
Tobias Stansbury was an American militia officer who led U.S. forces during the War of 1812’s Battle of Bladensburg, a key engagement preceding the British capture of Washington, D.C.
-
E.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
- 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: Erik von Detten Triple: [Toy Story, voiceActor, Erik von Detten]
Generated description
Erik von Detten is an American actor best known for his work in popular 1990s and 2000s films and television series, including notable voice roles in animated features.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erik von Detten Target entity description: Erik von Detten is an American actor best known for his work in popular 1990s and 2000s films and television series, including notable voice roles in animated features.
-
A.
Kyle Neptune
Kyle Neptune is an American college basketball coach best known for leading the Villanova Wildcats men's basketball program.
-
B.
Robby Mook
Robby Mook is an American political strategist best known for serving as campaign manager for Hillary Clinton’s 2016 U.S. presidential campaign.
-
C.
Luke Rowan
Luke Rowan is a fictional character from the works of 19th-century English novelist Anthony Trollope.
-
D.
Tobias Stansbury
Tobias Stansbury was an American militia officer who led U.S. forces during the War of 1812’s Battle of Bladensburg, a key engagement preceding the British capture of Washington, D.C.
-
E.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
- 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_69a88a1626548190ae59a5028c3baa8e |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abbb55cb2c8190aab8199da3335032 |
completed | March 7, 2026, 5:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae519bfdb08190a7b715fbc5fd3f41 |
completed | March 9, 2026, 4:50 a.m. |
| NEDg | Description generation | batch_69ae521c7810819086b88bb5f062597e |
completed | March 9, 2026, 4:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae52e79c788190bbe6eb5baba08a71 |
completed | March 9, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:44 p.m.