Triple
T15311903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magic Mike |
E366057
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Cody Horn |
E821565
|
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: Cody Horn | Statement: [Magic Mike, starring, Cody Horn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cody Horn Context triple: [Magic Mike, starring, Cody Horn]
-
A.
Cody Horn
chosen
Cody Horn is an American actress and former model known for her roles in films such as "End of Watch" and "Magic Mike."
-
B.
Jarrod Dillon
Jarrod Dillon is a sports executive who serves as the president of Major League Soccer club Orlando City SC.
-
C.
Chris Buescher
Chris Buescher is an American professional stock car racing driver who competes full-time in the NASCAR Cup Series.
-
D.
Zac Fisher
Zac Fisher is a cinematographer best known for his work on the animated superhero comedy film "The Lego Batman Movie."
-
E.
Christopher Bell
Christopher Bell is a Scottish choral conductor known for leading major choirs and festivals, including serving as chorus director of the Grant Park Music Festival in Chicago.
- 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_69d85a113ee881908e297a1d38dd79fa |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03cd2d5a88190aead748920f93d47 |
completed | April 16, 2026, 1:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8a3da3881909b50cfbec0543adc |
completed | May 9, 2026, 9:04 a.m. |
Created at: April 10, 2026, 3:16 a.m.