Triple
T13148263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Role Models |
E312395
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Danny Donahue
Danny Donahue is a central character in the comedy film "Role Models," serving as one of the key figures around whom the story’s mentorship and personal growth themes revolve.
|
E1031463
|
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: Danny Donahue | Statement: [Role Models, mainCharacter, Danny Donahue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Donahue Context triple: [Role Models, mainCharacter, Danny Donahue]
-
A.
Sam Healy
Sam Healy is a fictional prison counselor and correctional officer in the television series "Orange Is the New Black."
-
B.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
-
C.
Daniel Lapaine
Daniel Lapaine is an Australian actor known for his roles in films such as "Muriel's Wedding" and appearances in television series including "Black Mirror."
-
D.
John Grono
John Grono was a Welsh-born Australian sealer, shipbuilder, and explorer active in the early 19th century, noted for his voyages around New Zealand and the naming of several coastal features.
-
E.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
- 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: Danny Donahue Triple: [Role Models, mainCharacter, Danny Donahue]
Generated description
Danny Donahue is a central character in the comedy film "Role Models," serving as one of the key figures around whom the story’s mentorship and personal growth themes revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danny Donahue Target entity description: Danny Donahue is a central character in the comedy film "Role Models," serving as one of the key figures around whom the story’s mentorship and personal growth themes revolve.
-
A.
Sam Healy
Sam Healy is a fictional prison counselor and correctional officer in the television series "Orange Is the New Black."
-
B.
Michael Krieger
Michael Krieger is a fictional character appearing in the story of "Watch Over Me."
-
C.
Daniel Lapaine
Daniel Lapaine is an Australian actor known for his roles in films such as "Muriel's Wedding" and appearances in television series including "Black Mirror."
-
D.
John Grono
John Grono was a Welsh-born Australian sealer, shipbuilder, and explorer active in the early 19th century, noted for his voyages around New Zealand and the naming of several coastal features.
-
E.
Brian VanDeMark
Brian VanDeMark is an American historian and author known for his work on U.S. foreign policy and the Vietnam War, including coauthoring influential studies of that conflict.
- 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_69d806aabde48190899e13e41659cae5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98bd0f5b08190ab700c5de1c8e138 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a2894848190b5853127ef04932c |
completed | May 3, 2026, 8:41 a.m. |
| NEDg | Description generation | batch_69f70aec0e4481909f6ea77136f2e970 |
completed | May 3, 2026, 8:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f70bcb8b60819087afe37a3919d26b |
completed | May 3, 2026, 8:48 a.m. |
Created at: April 9, 2026, 9:11 p.m.