Triple
T16331316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crashing Towers |
E396559
|
entity |
| Predicate | featuresActor |
P15562
|
FINISHED |
| Object | John Bagni |
E430198
|
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: John Bagni | Statement: [Crashing Towers, featuresActor, John Bagni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Bagni Context triple: [Crashing Towers, featuresActor, John Bagni]
-
A.
John Bagni
chosen
John Bagni was an American actor and screenwriter active in mid-20th-century film and radio.
-
B.
Frank Yaconelli
Frank Yaconelli was an Italian-American character actor and musician known for his comic supporting roles in numerous Hollywood films from the 1930s and 1940s.
-
C.
Joseph Bortis
Joseph Bortis was a 19th-century mountaineer known for participating in the pioneering first ascent of the Finsteraarhorn in the Swiss Alps.
-
D.
Ralph Cifaretto
Ralph Cifaretto is a volatile, sadistic mob captain in the HBO series "The Sopranos," known for his cruelty, dark humor, and pivotal role in several of the show's most shocking storylines.
-
E.
Robert Glaudini
Robert Glaudini is an American playwright, screenwriter, and actor best known for writing the play "Jack Goes Boating," which he later adapted for the film version.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4dfd9688190a749e48ebc055baf |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bafe159c8190b66d2cd21b8ddb88 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:07 a.m.