Triple
T17186559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plastic Cup |
E417122
|
entity |
| Predicate | performedByBandMember |
P1363
|
FINISHED |
| Object | Steve Garrington |
—
|
NE NERFINISHED |
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: Steve Garrington | Statement: [Plastic Cup, performedByBandMember, Steve Garrington]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Garrington Context triple: [Plastic Cup, performedByBandMember, Steve Garrington]
-
A.
Steve Garrington
chosen
Steve Garrington is an American musician best known as the bassist and keyboardist for the indie rock band Low.
-
B.
Hal Courtney
Hal Courtney is a fictional 17th-century seafarer and adventurer who serves as the central hero of Wilbur Smith’s historical novel series, including "Monsoon."
-
C.
Tyler Hoechlin
Tyler Hoechlin is an American actor best known for roles such as Derek Hale on "Teen Wolf" and Superman/Clark Kent in the Arrowverse series.
-
D.
Van Der Beek
Van Der Beek is a Dutch-origin surname most prominently associated with American actor James Van Der Beek.
-
E.
Ethan Embry
Ethan Embry is an American actor known for his roles in 1990s films such as "Empire Records," "Can't Hardly Wait," and various television series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d96fc588190ad2177d8bb346373 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 5:37 a.m.