Triple
T21859906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saviors (Green Day album) |
E539731
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Suzie Chapstick |
—
|
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: Suzie Chapstick | Statement: [Saviors (Green Day album), hasPart, Suzie Chapstick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suzie Chapstick Context triple: [Saviors (Green Day album), hasPart, Suzie Chapstick]
-
A.
Suzie Chapstick
chosen
Suzie Chapstick is the advertising nickname of Suzy Chaffee, a former Olympic skier and popular 1970s TV commercial personality known for promoting ChapStick lip balm.
-
B.
Suzie Costello
Suzie Costello is a recurring character in the Doctor Who spin-off series Torchwood, known for her morally ambiguous actions and pivotal role in the episode "They Keep Killing Suzie."
-
C.
Sabelle Breer
Sabelle Breer is a music producer and songwriter known for her work on tracks such as "Let Go."
-
D.
Suzie Q
"Suzie Q" is a classic rock and roll song, originally recorded by Dale Hawkins in 1957 and later popularized by Creedence Clearwater Revival.
-
E.
Suzie
Suzie is a Canadian film written and directed by Micheline Lanctôt, known for its intimate, character-driven storytelling.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d63a22b88190b59b13e7b4788195 |
completed | April 28, 2026, 3:46 p.m. |
Created at: April 16, 2026, 6:56 p.m.