Triple
T11563881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coco Bandicoot |
E274205
|
entity |
| Predicate | voiceActorInEnglish |
P83203
|
FINISHED |
| Object |
Kirsten Potter
Kirsten Potter is an American actress and voice actress known for her work in video games, animation, and television.
|
E955749
|
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: Kirsten Potter | Statement: [Coco Bandicoot, voiceActorInEnglish, Kirsten Potter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirsten Potter Context triple: [Coco Bandicoot, voiceActorInEnglish, Kirsten Potter]
-
A.
Kirsten Nelson
Kirsten Nelson is an American actress best known for her role as police chief Karen Vick on the television series "Psych."
-
B.
Kirsten Sheridan
Kirsten Sheridan is an Irish film director and screenwriter known for character-driven dramas such as "August Rush" and "Disco Pigs."
-
C.
Kirsten Elms
Kirsten Elms is a screenwriter best known for co-writing the horror film "Texas Chainsaw 3D."
-
D.
Kirsten Lees
Kirsten Lees is a prominent architect and partner at Grimshaw Architects, known for her leadership on major cultural and public projects.
-
E.
Julianne Potter
Julianne Potter is the impulsive, commitment-phobic food critic who schemes to sabotage her best friend’s wedding in the romantic comedy film "My Best Friend’s Wedding."
- 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: Kirsten Potter Triple: [Coco Bandicoot, voiceActorInEnglish, Kirsten Potter]
Generated description
Kirsten Potter is an American actress and voice actress known for her work in video games, animation, and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kirsten Potter Target entity description: Kirsten Potter is an American actress and voice actress known for her work in video games, animation, and television.
-
A.
Kirsten Nelson
Kirsten Nelson is an American actress best known for her role as police chief Karen Vick on the television series "Psych."
-
B.
Kirsten Sheridan
Kirsten Sheridan is an Irish film director and screenwriter known for character-driven dramas such as "August Rush" and "Disco Pigs."
-
C.
Kirsten Elms
Kirsten Elms is a screenwriter best known for co-writing the horror film "Texas Chainsaw 3D."
-
D.
Kirsten Lees
Kirsten Lees is a prominent architect and partner at Grimshaw Architects, known for her leadership on major cultural and public projects.
-
E.
Julianne Potter
Julianne Potter is the impulsive, commitment-phobic food critic who schemes to sabotage her best friend’s wedding in the romantic comedy film "My Best Friend’s Wedding."
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd321f88190a57ecaf079fbbc3f |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f457dc01ec8190a7ee3108d4d95957 |
completed | May 1, 2026, 7:35 a.m. |
| NEDg | Description generation | batch_69f4645a7038819089d7533715f8a430 |
completed | May 1, 2026, 8:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f4664ff9608190b23e29b3e5c1c326 |
completed | May 1, 2026, 8:37 a.m. |
Created at: April 8, 2026, 9:37 p.m.