Triple
T14489159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trans-Siberian Orchestra |
E359318
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Al Pitrelli |
E394954
|
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: Al Pitrelli | Statement: [Trans-Siberian Orchestra, hasMember, Al Pitrelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Pitrelli Context triple: [Trans-Siberian Orchestra, hasMember, Al Pitrelli]
-
A.
Al Pitrelli
chosen
Al Pitrelli is an American rock and metal guitarist best known for his work with Megadeth, Savatage, and the Trans-Siberian Orchestra.
-
B.
Al Giardello
Al Giardello is a principled and charismatic Baltimore police lieutenant who leads the homicide unit in the television series "Homicide: Life on the Street."
-
C.
Dante Lavelli
Dante Lavelli was a Hall of Fame American football wide receiver best known for his prolific career with the Cleveland Browns in the 1940s and 1950s.
-
D.
Andrea Leone
Andrea Leone is one of the children of legendary Italian film director Sergio Leone.
-
E.
Anthony Pantaleoni
Anthony Pantaleoni is an American lawyer and the father of actress Téa Leoni.
- 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de930bd1d48190abd6c47da0a3ebc8 |
completed | April 14, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5c018788190afad213c580d7072 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:20 a.m.