Triple
T10973074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slevin Kelevra |
E259295
|
entity |
| Predicate | familyNameOfFather |
P66681
|
FINISHED |
| Object |
Kelevra
Kelevra is the surname of the fictional character Slevin Kelevra from the crime thriller film "Lucky Number Slevin."
|
E896809
|
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: Kelevra | Statement: [Slevin Kelevra, familyNameOfFather, Kelevra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelevra Context triple: [Slevin Kelevra, familyNameOfFather, Kelevra]
-
A.
Relva
Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
-
B.
Kelmis
Kelmis is a municipality in eastern Belgium located in the country's German-speaking region, known for its historical zinc mining industry and borderland character near Germany and the Netherlands.
-
C.
Renaelva
Renaelva is a river in eastern Norway that flows through Hedmark county before joining the larger Glomma river.
-
D.
Levane
Levane is a village in Tuscany, central Italy, that forms one of the main population centers within the municipality of Bucine in the province of Arezzo.
-
E.
Elivera
Elivera is a feminine given name, notably borne by Elivera Mathilda Carlson Doud, the mother-in-law of U.S. President Dwight D. Eisenhower.
- 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: Kelevra Triple: [Slevin Kelevra, familyNameOfFather, Kelevra]
Generated description
Kelevra is the surname of the fictional character Slevin Kelevra from the crime thriller film "Lucky Number Slevin."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kelevra Target entity description: Kelevra is the surname of the fictional character Slevin Kelevra from the crime thriller film "Lucky Number Slevin."
-
A.
Relva
Relva is a civil parish located within the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
-
B.
Kelmis
Kelmis is a municipality in eastern Belgium located in the country's German-speaking region, known for its historical zinc mining industry and borderland character near Germany and the Netherlands.
-
C.
Renaelva
Renaelva is a river in eastern Norway that flows through Hedmark county before joining the larger Glomma river.
-
D.
Levane
Levane is a village in Tuscany, central Italy, that forms one of the main population centers within the municipality of Bucine in the province of Arezzo.
-
E.
Elivera
Elivera is a feminine given name, notably borne by Elivera Mathilda Carlson Doud, the mother-in-law of U.S. President Dwight D. Eisenhower.
- 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_69d6aa895f4c8190887a15460ef622f4 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7719c16648190ab5a87abb1c61990 |
completed | April 9, 2026, 9:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e2d7a0b3dc819084fbda3227caf5b5 |
completed | April 18, 2026, 1 a.m. |
| NEDg | Description generation | batch_69e2ff211ae88190a40380cd25a61812 |
completed | April 18, 2026, 3:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e32634397481908284c04448274b25 |
completed | April 18, 2026, 6:35 a.m. |
Created at: April 8, 2026, 9:24 p.m.