Triple
T10776430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broadway Danny Rose |
E254208
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Danny Rose
Danny Rose is a hapless but big-hearted New York talent agent from the Woody Allen film "Broadway Danny Rose," known for his loyalty to his eccentric, small-time clients.
|
E885031
|
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 Rose | Statement: [Broadway Danny Rose, mainCharacter, Danny Rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danny Rose Context triple: [Broadway Danny Rose, mainCharacter, Danny Rose]
-
A.
Emmet Brickowski
Emmet Brickowski is the optimistic everyman construction worker who becomes an unlikely hero and "Special" in the animated film *The Lego Movie*.
-
B.
Alec Radford
Alec Radford is a machine learning researcher known for his influential work on generative models and large language models at OpenAI.
-
C.
Mikey Walsh
Mikey Walsh is the adventurous young leader of the group of kids in the 1985 cult classic film "The Goonies."
-
D.
Johnny Markham
Johnny Markham was a standout Negro league baseball player best known for his contributions to the Birmingham Black Barons.
-
E.
Alan Dukes
Alan Dukes is an Irish economist and former politician who served as leader of the Fine Gael party and held several senior ministerial roles.
- 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 Rose Triple: [Broadway Danny Rose, mainCharacter, Danny Rose]
Generated description
Danny Rose is a hapless but big-hearted New York talent agent from the Woody Allen film "Broadway Danny Rose," known for his loyalty to his eccentric, small-time clients.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danny Rose Target entity description: Danny Rose is a hapless but big-hearted New York talent agent from the Woody Allen film "Broadway Danny Rose," known for his loyalty to his eccentric, small-time clients.
-
A.
Emmet Brickowski
Emmet Brickowski is the optimistic everyman construction worker who becomes an unlikely hero and "Special" in the animated film *The Lego Movie*.
-
B.
Alec Radford
Alec Radford is a machine learning researcher known for his influential work on generative models and large language models at OpenAI.
-
C.
Mikey Walsh
Mikey Walsh is the adventurous young leader of the group of kids in the 1985 cult classic film "The Goonies."
-
D.
Johnny Markham
Johnny Markham was a standout Negro league baseball player best known for his contributions to the Birmingham Black Barons.
-
E.
Alan Dukes
Alan Dukes is an Irish economist and former politician who served as leader of the Fine Gael party and held several senior ministerial roles.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7329d8c908190bddad40685133ea1 |
completed | April 9, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de238ff88881908676d38dca041cb4 |
completed | April 14, 2026, 11:22 a.m. |
| NEDg | Description generation | batch_69de271fb08c8190a44c547083226fd8 |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2cecc24c8190a240366e0600426a |
completed | April 14, 2026, 12:02 p.m. |
Created at: April 8, 2026, 9:16 p.m.