Triple
T12530675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temptation |
E299554
|
entity |
| Predicate | hasNotablePerformer |
P17435
|
FINISHED |
| Object | Mario Lanza |
E270889
|
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: Mario Lanza | Statement: [Temptation, hasNotablePerformer, Mario Lanza]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mario Lanza Context triple: [Temptation, hasNotablePerformer, Mario Lanza]
-
A.
Mario Lanza
chosen
Mario Lanza was a popular mid-20th-century American tenor and film star known for bringing operatic singing to mainstream audiences through his recordings and Hollywood movies.
-
B.
Mel Ferrer
Mel Ferrer was an American actor, director, and producer known for his work in classic Hollywood films and his marriage to Audrey Hepburn.
-
C.
Antonino Martino Sinatra
Antonino Martino Sinatra was an Italian-born immigrant to the United States best known as the father of legendary singer and actor Frank Sinatra.
-
D.
Frank LaLoggia
Frank LaLoggia is an American filmmaker best known for writing and directing the 1988 supernatural horror film "Lady in White."
-
E.
Tony Musante
Tony Musante was an American actor known for his intense, often gritty performances in film and television, including notable roles in works like "The Incident" and the TV series "Toma."
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95469d100819087c83bc55e3ec9ce |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655762ae88190ab41e23bbd65c566 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.