Triple
T6817263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Cherry |
E156796
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
Cherry Bail Bonds
Cherry Bail Bonds is a bail bond company featured in Quentin Tarantino’s film "Jackie Brown," where it serves as the workplace of bail bondsman Max Cherry.
|
E621750
|
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: Cherry Bail Bonds | Statement: [Max Cherry, employer, Cherry Bail Bonds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cherry Bail Bonds Context triple: [Max Cherry, employer, Cherry Bail Bonds]
-
A.
Bondy
Bondy is a suburban commune in the northeastern outskirts of Paris, France, served by regional rail and other public transport links into the capital.
-
B.
Keyes
Keyes is a small unincorporated community located in Stanislaus County in California’s Central Valley.
-
C.
Cherry, Cherry
"Cherry, Cherry" is a 1966 pop-rock hit single by Neil Diamond, known for its catchy guitar riff and upbeat, sing-along chorus.
-
D.
Cherry Crusade
Cherry Crusade is the passionate student cheering section that supports the Temple Owls men's basketball team at their games.
-
E.
Abagnale & Associates
Abagnale & Associates is a security consulting firm founded by former con artist and fraud expert Frank Abagnale Jr., specializing in fraud prevention and document security.
- 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: Cherry Bail Bonds Triple: [Max Cherry, employer, Cherry Bail Bonds]
Generated description
Cherry Bail Bonds is a bail bond company featured in Quentin Tarantino’s film "Jackie Brown," where it serves as the workplace of bail bondsman Max Cherry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cherry Bail Bonds Target entity description: Cherry Bail Bonds is a bail bond company featured in Quentin Tarantino’s film "Jackie Brown," where it serves as the workplace of bail bondsman Max Cherry.
-
A.
Bondy
Bondy is a suburban commune in the northeastern outskirts of Paris, France, served by regional rail and other public transport links into the capital.
-
B.
Keyes
Keyes is a small unincorporated community located in Stanislaus County in California’s Central Valley.
-
C.
Cherry, Cherry
"Cherry, Cherry" is a 1966 pop-rock hit single by Neil Diamond, known for its catchy guitar riff and upbeat, sing-along chorus.
-
D.
Cherry Crusade
Cherry Crusade is the passionate student cheering section that supports the Temple Owls men's basketball team at their games.
-
E.
Abagnale & Associates
Abagnale & Associates is a security consulting firm founded by former con artist and fraud expert Frank Abagnale Jr., specializing in fraud prevention and document security.
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723e0c62c8190b3b3b092ea48d4c5 |
completed | March 28, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69c7247806808190ac60c134cec612c8 |
completed | March 28, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c72536c4808190b9012e282cf02da4 |
completed | March 28, 2026, 12:47 a.m. |
Created at: March 27, 2026, 2:17 p.m.