Triple
T9112750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morten Tyldum |
E218641
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Buddy |
E259355
|
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: Buddy | Statement: [Morten Tyldum, notableWork, Buddy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buddy Context triple: [Morten Tyldum, notableWork, Buddy]
-
A.
Buddy
Buddy is the cheerful, childlike main character of the Christmas comedy film "Elf," known for being a human raised at the North Pole by Santa’s elves.
-
B.
Buddy
Buddy is the nickname of Buddy Jeannette, a Hall of Fame American professional basketball player and coach known for his success in the early years of the sport.
-
C.
Buddy
Buddy is the young boy narrator and central figure in Truman Capote’s autobiographical short story “A Christmas Memory,” reflecting the author’s own childhood experiences.
-
D.
Buddy
Buddy is a laid-back dachshund from the animated film "The Secret Life of Pets," known for his witty, easygoing personality and loyal friendship with the other pets.
-
E.
Buddy
chosen
Buddy is the young boy protagonist whose perspective shapes the semi-autobiographical coming-of-age story set during the Troubles in the film "Belfast."
- 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_69ca83dc94ac8190b9ef42684d36ff39 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca84b0a048190964f560f78e27cce |
completed | April 1, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d03052716c8190835b0d3357a29ce5 |
completed | April 3, 2026, 9:25 p.m. |
Created at: March 30, 2026, 7:16 p.m.