Triple
T13911450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mason Dash Disick |
E334506
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Disick |
E1056921
|
NE FINISHED |
How this triple was built (2 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: Disick | Statement: [Mason Dash Disick, familyName, Disick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Disick Context triple: [Mason Dash Disick, familyName, Disick]
-
A.
Disick
chosen
Disick is the surname of Scott Disick, an American media personality best known for his appearances on the reality TV series "Keeping Up with the Kardashians."
-
B.
Dison
Dison is a municipality in the province of Liège in eastern Belgium, situated within the French-speaking Walloon region.
-
C.
Dies
Dies is the Roman personification and goddess of Day, corresponding to the Greek goddess Hemera.
-
D.
Discoba
Discoba is a major group of unicellular eukaryotes within the supergroup Excavata, encompassing diverse flagellated protists such as euglenids and kinetoplastids.
-
E.
Doische
Doische is a rural municipality in Wallonia, Belgium, known for its agricultural landscape and proximity to the French border.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2723461881908376b5509ee0d530 |
completed | April 14, 2026, 11:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c72879e48190ac01d0a2023b098c |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:16 p.m.