Triple
T15358054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Lego Ninjago Movie |
E367213
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Bob Logan |
E367213
|
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: Bob Logan | Statement: [The Lego Ninjago Movie, director, Bob Logan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bob Logan Context triple: [The Lego Ninjago Movie, director, Bob Logan]
-
A.
Bob Logan
chosen
Bob Logan is a film director and screenwriter best known for co-directing the animated feature "The Lego Ninjago Movie."
-
B.
Dennis Morgan
Dennis Morgan was an American film actor and singer best known for his leading-man roles in Hollywood musicals and dramas of the 1940s.
-
C.
Don Logan
Don Logan is a volatile and menacing criminal character from the British film "Sexy Beast," best known for Ben Kingsley’s intense, Oscar-nominated performance.
-
D.
Jimmy Logan
Jimmy Logan was a Scottish comedian and actor known for his work in film, television, and theatre, particularly in British comedy.
-
E.
Jimmy Logan
Jimmy Logan is the down-on-his-luck West Virginian construction worker who masterminds the NASCAR heist at the center of the film "Logan Lucky."
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2d4934819097fc63603964217c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b45e3048190a7fa62ead6916fed |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.