Triple
T11448107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solomon Vandy |
E271315
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Dia Vandy
Dia Vandy is a fictional Sierra Leonean boy from the film "Blood Diamond," whose abduction and forced conscription as a child soldier drive much of the movie’s emotional and narrative conflict.
|
E926491
|
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: Dia Vandy | Statement: [Solomon Vandy, hasChild, Dia Vandy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dia Vandy Context triple: [Solomon Vandy, hasChild, Dia Vandy]
-
A.
Arvin
Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
-
B.
Devorski
Devorski is a surname most notably associated with Paul Devorski, a former National Hockey League referee.
-
C.
Vondie
Vondie is the given name of Vondie Curtis-Hall, an American actor and director known for his work in film and television.
-
D.
Vivanco
Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
-
E.
Vachel
Vachel is the given name of American poet Vachel Lindsay, known for his rhythmic, performance-oriented verse and influence on modern spoken poetry.
- 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: Dia Vandy Triple: [Solomon Vandy, hasChild, Dia Vandy]
Generated description
Dia Vandy is a fictional Sierra Leonean boy from the film "Blood Diamond," whose abduction and forced conscription as a child soldier drive much of the movie’s emotional and narrative conflict.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dia Vandy Target entity description: Dia Vandy is a fictional Sierra Leonean boy from the film "Blood Diamond," whose abduction and forced conscription as a child soldier drive much of the movie’s emotional and narrative conflict.
-
A.
Arvin
Arvin is a small agricultural city in Southern California’s San Joaquin Valley, known for its farming economy and diverse rural community.
-
B.
Devorski
Devorski is a surname most notably associated with Paul Devorski, a former National Hockey League referee.
-
C.
Vondie
Vondie is the given name of Vondie Curtis-Hall, an American actor and director known for his work in film and television.
-
D.
Vivanco
Vivanco is a Spanish-language surname of likely Iberian origin borne by various notable individuals.
-
E.
Vachel
Vachel is the given name of American poet Vachel Lindsay, known for his rhythmic, performance-oriented verse and influence on modern spoken poetry.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d81c6d4890819082fb4a670feb2629 |
completed | April 9, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5d3cb63408190a96b97f716d46082 |
completed | April 20, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69e5d7e46e248190aba139dc32185e2f |
completed | April 20, 2026, 7:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5e192297c8190992578f734e63427 |
completed | April 20, 2026, 8:19 a.m. |
Created at: April 8, 2026, 9:35 p.m.