Triple
T17444403
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aloha, Bobby and Rose |
E424742
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Bobby
Bobby is the male lead in the 1975 romantic crime drama film "Aloha, Bobby and Rose," whose impulsive actions set the story’s tragic events in motion.
|
E1270737
|
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: Bobby | Statement: [Aloha, Bobby and Rose, mainCharacter, Bobby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bobby Context triple: [Aloha, Bobby and Rose, mainCharacter, Bobby]
-
A.
Bobby
"Bobby" is a landmark 1973 Hindi romantic film directed by Raj Kapoor, celebrated for launching Dimple Kapadia to stardom and popularizing youthful love stories in Indian cinema.
-
B.
Bobby
"Bobby" is a 2006 ensemble drama film written and directed by Emilio Estevez that chronicles the hours leading up to the assassination of U.S. Senator Robert F. Kennedy at the Ambassador Hotel in 1968.
-
C.
Bobby
Bobby is a fictional character known for performing the song "Being Alive."
-
D.
Bobby
Bobby is a Texas Ranger character known for his role in law enforcement within the state of Texas.
-
E.
Bobby
Bobby is a family name that can function as a surname in English-speaking contexts.
- 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: Bobby Triple: [Aloha, Bobby and Rose, mainCharacter, Bobby]
Generated description
Bobby is the male lead in the 1975 romantic crime drama film "Aloha, Bobby and Rose," whose impulsive actions set the story’s tragic events in motion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bobby Target entity description: Bobby is the male lead in the 1975 romantic crime drama film "Aloha, Bobby and Rose," whose impulsive actions set the story’s tragic events in motion.
-
A.
Bobby
Bobby is a fictional character from the film "Loosies," a romantic comedy-drama about a New York City pickpocket whose life changes when confronted with unexpected responsibility.
-
B.
Bobby
Bobby is a character in David Mamet’s play "American Buffalo," typically portrayed as a young, somewhat naive accomplice drawn into a small-time robbery scheme.
-
C.
Bobby
"Bobby" is a film directed by Michael Barrett, best known for its portrayal of the events surrounding the assassination of U.S. Senator Robert F. Kennedy.
-
D.
Bobby
"Bobby" is a landmark 1973 Hindi romantic film directed by Raj Kapoor, celebrated for launching Dimple Kapadia to stardom and popularizing youthful love stories in Indian cinema.
-
E.
Bobby
Bobby is a fictional character known for performing the song "Being Alive."
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffa2d84819086474649eba1065c |
completed | April 19, 2026, 3:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01b81c298c81908fe3dc709632d96c |
completed | May 11, 2026, 11:06 a.m. |
| NEDg | Description generation | batch_6a01b8fa4d1c8190a1307465450dceda |
completed | May 11, 2026, 11:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01b9a82b808190a10c288c15750bfe |
completed | May 11, 2026, 11:12 a.m. |
Created at: April 10, 2026, 5:47 a.m.