Triple
T17166858
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthrax |
E416630
|
entity |
| Predicate | pastMember |
P1168
|
FINISHED |
| Object | Matt Fallon |
E616723
|
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: Matt Fallon | Statement: [Anthrax, pastMember, Matt Fallon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matt Fallon Context triple: [Anthrax, pastMember, Matt Fallon]
-
A.
Matt Fallon
chosen
Matt Fallon is an American heavy metal singer best known for his early involvement with bands like Skid Row and Anthrax before they rose to mainstream fame.
-
B.
Hank Fallon
Hank Fallon is a character in the classic 1949 film noir "White Heat," which centers on the violent life of a psychopathic gangster.
-
C.
Matthew Maher
Matthew Maher is an American character actor known for his offbeat supporting roles in independent films, theater, and television.
-
D.
Craig Bierko
Craig Bierko is an American actor known for his work in film, television, and theater, often playing charismatic or villainous roles.
-
E.
Steve Tumlin
Steve Tumlin is an American politician who serves as the mayor of Marietta, Georgia.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f915622c8190a6dff0baf0288a62 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01483d754c819089607cfc87d08d42 |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:37 a.m.