Triple
T18538114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonder Park |
E453017
|
entity |
| Predicate | voiceCastMember |
P9616
|
FINISHED |
| Object |
Oev Michael Urbas
Oev Michael Urbas is a voice actor known for his role in the animated film "Wonder Park."
|
E1329487
|
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: Oev Michael Urbas | Statement: [Wonder Park, voiceCastMember, Oev Michael Urbas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oev Michael Urbas Context triple: [Wonder Park, voiceCastMember, Oev Michael Urbas]
-
A.
Sarunas Marciulionis
Sarunas Marciulionis is a pioneering Lithuanian basketball guard who became one of the first Europeans to make a major impact in the NBA and on international basketball.
-
B.
Tomas Masiulis
Tomas Masiulis is a retired Lithuanian basketball player best known as a forward for Žalgiris Kaunas and a member of the Lithuanian national team.
-
C.
Udo Cropa
Udo Cropa is a character in the crime drama film "Dinner Rush," set in a high-end New York City restaurant.
-
D.
Helmut Bakaitis
Helmut Bakaitis is an Australian actor and director best known for playing the Architect in the Matrix film series.
-
E.
Marius Balchunas
Marius Balchunas is a television producer best known for his executive production work on the drama series "American Odyssey."
- 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: Oev Michael Urbas Triple: [Wonder Park, voiceCastMember, Oev Michael Urbas]
Generated description
Oev Michael Urbas is a voice actor known for his role in the animated film "Wonder Park."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oev Michael Urbas Target entity description: Oev Michael Urbas is a voice actor known for his role in the animated film "Wonder Park."
-
A.
Sarunas Marciulionis
Sarunas Marciulionis is a pioneering Lithuanian basketball guard who became one of the first Europeans to make a major impact in the NBA and on international basketball.
-
B.
Tomas Masiulis
Tomas Masiulis is a retired Lithuanian basketball player best known as a forward for Žalgiris Kaunas and a member of the Lithuanian national team.
-
C.
Udo Cropa
Udo Cropa is a character in the crime drama film "Dinner Rush," set in a high-end New York City restaurant.
-
D.
Helmut Bakaitis
Helmut Bakaitis is an Australian actor and director best known for playing the Architect in the Matrix film series.
-
E.
Marius Balchunas
Marius Balchunas is a television producer best known for his executive production work on the drama series "American Odyssey."
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e534030bd88190b25b95305a12a0c1 |
completed | April 19, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a04917f770c8190b25da102a3368828 |
completed | May 13, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_6a0493595bec8190b92e737effb91f54 |
completed | May 13, 2026, 3:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a04941c17988190b38bfce00fedbeca |
completed | May 13, 2026, 3:09 p.m. |
Created at: April 10, 2026, 11:37 a.m.