Triple
T20414988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Squirtgun |
E500685
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Kevin Sierzega |
E500685
|
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: Kevin Sierzega | Statement: [Squirtgun, hasMember, Kevin Sierzega]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kevin Sierzega Context triple: [Squirtgun, hasMember, Kevin Sierzega]
-
A.
Kevin Sierzega
chosen
Kevin Sierzega is a musician best known as a member of the punk rock band Squirtgun.
-
B.
Sam Kiszka
Sam Kiszka is an American bassist and keyboardist best known as a founding member of the rock band Greta Van Fleet.
-
C.
Eric Szmanda
Eric Szmanda is an American actor best known for playing forensic investigator Greg Sanders on the television series "CSI: Crime Scene Investigation."
-
D.
Greg Joswiak
Greg Joswiak is a senior Apple executive who serves as the company’s Senior Vice President of Worldwide Marketing.
-
E.
Adam Szalinski
Adam Szalinski is a fictional character from the "Honey, I Shrunk the Kids" franchise, known as the inventive Wayne Szalinski’s son who often becomes involved in his father’s size-altering experiments.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a437eec8190a20c89a236dd5bc0 |
completed | April 20, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0893a1996481909cffd0558181cf40 |
completed | May 16, 2026, 3:56 p.m. |
Created at: April 16, 2026, 11:30 a.m.