Triple
T16161803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Box Office |
E392196
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Tony T. Roberts
Tony T. Roberts is an American stand-up comedian and actor known for his high-energy performances and roles in film and television.
|
E1200360
|
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: Tony T. Roberts | Statement: [Mr. Box Office, stars, Tony T. Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony T. Roberts Context triple: [Mr. Box Office, stars, Tony T. Roberts]
-
A.
Ray Bradley
Ray Bradley is a philosopher known for his work in logic and philosophy of religion, including public debates on the existence of God.
-
B.
Ed Tom Bell
Ed Tom Bell is a weary, morally reflective sheriff in Cormac McCarthy’s novel and its film adaptation, embodying the struggle to uphold traditional justice amid escalating modern violence.
-
C.
Dan Truman
Dan Truman is an American country musician best known as the keyboardist for the Grammy-winning band Diamond Rio.
-
D.
Dan Truman
Dan Truman is the NASA administrator in the 1998 disaster film "Armageddon," responsible for overseeing the mission to prevent an asteroid from destroying Earth.
-
E.
Brian Berry
Brian Berry is a prominent British geographer known for his influential work in urban and regional analysis and contributions to quantitative geography.
- 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: Tony T. Roberts Triple: [Mr. Box Office, stars, Tony T. Roberts]
Generated description
Tony T. Roberts is an American stand-up comedian and actor known for his high-energy performances and roles in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tony T. Roberts Target entity description: Tony T. Roberts is an American stand-up comedian and actor known for his high-energy performances and roles in film and television.
-
A.
Ray Bradley
Ray Bradley is a philosopher known for his work in logic and philosophy of religion, including public debates on the existence of God.
-
B.
Ed Tom Bell
Ed Tom Bell is a weary, morally reflective sheriff in Cormac McCarthy’s novel and its film adaptation, embodying the struggle to uphold traditional justice amid escalating modern violence.
-
C.
Dan Truman
Dan Truman is an American country musician best known as the keyboardist for the Grammy-winning band Diamond Rio.
-
D.
Dan Truman
Dan Truman is the NASA administrator in the 1998 disaster film "Armageddon," responsible for overseeing the mission to prevent an asteroid from destroying Earth.
-
E.
Brian Berry
Brian Berry is a prominent British geographer known for his influential work in urban and regional analysis and contributions to quantitative geography.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5ffba88190b9dc7bb9afb6fdf2 |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000785fcd481909ddf92cf9cc5c0aa |
completed | May 10, 2026, 4:20 a.m. |
| NEDg | Description generation | batch_6a00086c32c48190b7cf3ef2a97c7c9f |
completed | May 10, 2026, 4:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0008dbeb988190bbfb590f945ace02 |
completed | May 10, 2026, 4:26 a.m. |
Created at: April 10, 2026, 5:02 a.m.