Triple
T16497582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jason Cropper |
E400723
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Cropper
Cropper is an English-language surname borne by various notable individuals, including musicians and public figures.
|
E1217148
|
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: Cropper | Statement: [Jason Cropper, familyName, Cropper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cropper Context triple: [Jason Cropper, familyName, Cropper]
-
A.
Crop Over
Crop Over is a vibrant annual harvest festival in Barbados that celebrates Afro-Caribbean culture through music, dance, parades, and traditional rituals.
-
B.
Vigra
Vigra is a Norwegian island in Møre og Romsdal county, known for its coastal landscapes, beaches, and the Ålesund Airport located there.
-
C.
WireImage
WireImage is a celebrity and entertainment photography agency known for its extensive coverage of red carpet events, premieres, and industry parties.
-
D.
Cinepix
Cinepix is a Canadian film production and distribution company known for backing genre and independent films, including the cult slasher "My Bloody Valentine."
-
E.
IMG
IMG is a global sports, events, and talent management company known for representing athletes and models and producing major sporting and fashion events.
- 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: Cropper Triple: [Jason Cropper, familyName, Cropper]
Generated description
Cropper is an English-language surname borne by various notable individuals, including musicians and public figures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cropper Target entity description: Cropper is an English-language surname borne by various notable individuals, including musicians and public figures.
-
A.
Crop Over
Crop Over is a vibrant annual harvest festival in Barbados that celebrates Afro-Caribbean culture through music, dance, parades, and traditional rituals.
-
B.
Vigra
Vigra is a Norwegian island in Møre og Romsdal county, known for its coastal landscapes, beaches, and the Ålesund Airport located there.
-
C.
WireImage
WireImage is a celebrity and entertainment photography agency known for its extensive coverage of red carpet events, premieres, and industry parties.
-
D.
Cinepix
Cinepix is a Canadian film production and distribution company known for backing genre and independent films, including the cult slasher "My Bloody Valentine."
-
E.
IMG
IMG is a global sports, events, and talent management company known for representing athletes and models and producing major sporting and fashion events.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e343a7c81909e04cbaaa40e2531 |
completed | April 18, 2026, 7:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00582a316c81908ec32679c976ba23 |
completed | May 10, 2026, 10:04 a.m. |
| NEDg | Description generation | batch_6a0058d08f048190b83d3fb69ba8a2c3 |
completed | May 10, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0059b5a1f8819089caefc121246739 |
completed | May 10, 2026, 10:11 a.m. |
Created at: April 10, 2026, 5:14 a.m.