Triple
T17445237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calum Worthy |
E424763
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Calum Worthy |
—
|
NE NERFINISHED |
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: Calum Worthy | Statement: [Calum Worthy, name, Calum Worthy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calum Worthy Context triple: [Calum Worthy, name, Calum Worthy]
-
A.
Calum Worthy
chosen
Calum Worthy is a Canadian actor and comedian known for his roles in Disney Channel's "Austin & Ally," various film and television projects, and voice work in animated series.
-
B.
Calum Hood
Calum Hood is an Australian musician best known as the bassist and vocalist of the pop-rock band 5 Seconds of Summer.
-
C.
Callum Wharry
Callum Wharry is a British child actor best known for playing the young Tommen Baratheon in the television series "Game of Thrones."
-
D.
Callum Woodhouse
Callum Woodhouse is a British actor best known for his roles in period television dramas such as "The Durrells" and the 2020 adaptation of "All Creatures Great and Small."
-
E.
Callum Francis
Callum Francis is a British musical theatre actor best known for playing the lead role of Lola in various international productions of the hit musical "Kinky Boots."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e44ffafec48190b25980318cea353f |
completed | April 19, 2026, 3:46 a.m. |
Created at: April 10, 2026, 5:47 a.m.