Triple
T14759350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Return to Oz |
E346814
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Tim Rose
Tim Rose is an American puppeteer and actor best known for performing the character Admiral Ackbar in the Star Wars film series.
|
E1119556
|
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: Tim Rose | Statement: [Return to Oz, castMember, Tim Rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tim Rose Context triple: [Return to Oz, castMember, Tim Rose]
-
A.
Chris Rose
Chris Rose is an American sportscaster best known for his long-running work as a baseball studio host and commentator, including on MLB Network.
-
B.
Tim Rozon
Tim Rozon is a Canadian actor best known for his roles in television series such as Schitt's Creek and Wynonna Earp.
-
C.
Tim Bessolo
Tim Bessolo is an individual recognized by the NCAA with its prestigious Award of Valor for extraordinary courage and heroism.
-
D.
Marshall Rose
Marshall Rose is a wealthy New York real estate developer and philanthropist known for his work in high-end property and arts patronage.
-
E.
Dave Rosenberg
Dave Rosenberg is a technology entrepreneur best known as a co-founder of MuleSoft, a leading integration and API management platform company.
- 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: Tim Rose Triple: [Return to Oz, castMember, Tim Rose]
Generated description
Tim Rose is an American puppeteer and actor best known for performing the character Admiral Ackbar in the Star Wars film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tim Rose Target entity description: Tim Rose is an American puppeteer and actor best known for performing the character Admiral Ackbar in the Star Wars film series.
-
A.
Chris Rose
Chris Rose is an American sportscaster best known for his long-running work as a baseball studio host and commentator, including on MLB Network.
-
B.
Tim Rozon
Tim Rozon is a Canadian actor best known for his roles in television series such as Schitt's Creek and Wynonna Earp.
-
C.
Tim Bessolo
Tim Bessolo is an individual recognized by the NCAA with its prestigious Award of Valor for extraordinary courage and heroism.
-
D.
Marshall Rose
Marshall Rose is a wealthy New York real estate developer and philanthropist known for his work in high-end property and arts patronage.
-
E.
Dave Rosenberg
Dave Rosenberg is a technology entrepreneur best known as a co-founder of MuleSoft, a leading integration and API management platform company.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f0f5a48190af008352c26574d7 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cefb7c08190bf69b15165f046d0 |
completed | May 8, 2026, 4:18 p.m. |
| NEDg | Description generation | batch_69fe1a0e2820819092abfc2795ba4851 |
completed | May 8, 2026, 5:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1a89d4d08190a2be8b4b0bc5a472 |
completed | May 8, 2026, 5:16 p.m. |
Created at: April 10, 2026, 1:30 a.m.