Triple
T3211624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Godsmack |
E67293
|
entity |
| Predicate | leadVocalist |
P9645
|
FINISHED |
| Object | Sully Erna |
E344458
|
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: Sully Erna | Statement: [Godsmack, leadVocalist, Sully Erna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sully Erna Context triple: [Godsmack, leadVocalist, Sully Erna]
-
A.
Sully Erna
chosen
Sully Erna is an American musician best known as the lead vocalist and primary songwriter of the hard rock band Godsmack.
-
B.
Kay Nelson
Kay Nelson was a Hollywood costume designer known for her work on classic films of the 1940s.
-
C.
Joely Richardson
Joely Richardson is an English actress known for her work in film and television, including roles in projects such as "Nip/Tuck" and various period dramas.
-
D.
Greer Shephard
Greer Shephard is an American television producer and director best known for co-creating and producing acclaimed drama series such as Nip/Tuck and The Closer.
-
E.
Beth Riesgraf
Beth Riesgraf is an American actress best known for playing the quirky thief Parker on the television series "Leverage."
- 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_69ad858ac36c81909962589cd277d6e2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaaba224c8190ad2f4e0ed1c2ca4a |
completed | March 8, 2026, 4:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3b7e5c48190a8fc84ae78d4bd66 |
completed | March 12, 2026, 5:11 p.m. |
Created at: March 8, 2026, 3:07 p.m.