Triple
T15991138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casper the Friendly Ghost |
E387826
|
entity |
| Predicate | hasUncle |
P8496
|
FINISHED |
| Object |
Fusso
Fusso is one of Casper the Friendly Ghost’s lesser-known ghost uncles from the Casper franchise.
|
E1187255
|
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: Fusso | Statement: [Casper the Friendly Ghost, hasUncle, Fusso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fusso Context triple: [Casper the Friendly Ghost, hasUncle, Fusso]
-
A.
Fuseta
Fuseta is a small coastal fishing village in Portugal’s Algarve region, known for its sandy island beaches, traditional seafood, and relaxed atmosphere.
-
B.
Roatta
Roatta is an Italian surname most notably borne by Mario Roatta, a general in the Royal Italian Army during World War II.
-
C.
Ferno
Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
-
D.
Fuselli
Fuselli is a central fictional character in the World War I novel "Active Service" by Stephen Crane, representing the experiences and attitudes of an ordinary soldier.
-
E.
FUGA
FUGA is a global music distribution and services company that provides digital delivery, rights management, and marketing solutions for record labels and independent artists.
- 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: Fusso Triple: [Casper the Friendly Ghost, hasUncle, Fusso]
Generated description
Fusso is one of Casper the Friendly Ghost’s lesser-known ghost uncles from the Casper franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fusso Target entity description: Fusso is one of Casper the Friendly Ghost’s lesser-known ghost uncles from the Casper franchise.
-
A.
Fuseta
Fuseta is a small coastal fishing village in Portugal’s Algarve region, known for its sandy island beaches, traditional seafood, and relaxed atmosphere.
-
B.
Roatta
Roatta is an Italian surname most notably borne by Mario Roatta, a general in the Royal Italian Army during World War II.
-
C.
Ferno
Ferno is a small municipality in the Lombardy region of northern Italy, situated in the province of Varese.
-
D.
Fuselli
Fuselli is a central fictional character in the World War I novel "Active Service" by Stephen Crane, representing the experiences and attitudes of an ordinary soldier.
-
E.
FUGA
FUGA is a global music distribution and services company that provides digital delivery, rights management, and marketing solutions for record labels and independent artists.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e157835cac81909e979f9be281f328 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d3ef2881909213ff608192f1ef |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc47bce748190a651fff307aad88d |
completed | May 9, 2026, 11:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc4e14e1881909210a78426546e88 |
completed | May 9, 2026, 11:36 p.m. |
Created at: April 10, 2026, 4:54 a.m.