Triple
T13932988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Arms |
E335037
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Bizarre |
E1006053
|
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: Bizarre | Statement: [Golden Arms, notableWork, Bizarre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bizarre Context triple: [Golden Arms, notableWork, Bizarre]
-
A.
Bizarre
chosen
Bizarre was a Canadian sketch-comedy television series known for its offbeat, often risqué humor and recurring character Super Dave Osborne.
-
B.
Odd
Odd is a Norwegian given name, notably borne by Nobel Prize–winning chemist Odd Hassel.
-
C.
Strange
Strange is a small rural community located within the Township of King in Ontario, Canada.
-
D.
Strange
Strange is a given name or middle name of English origin that has historically appeared in aristocratic and notable British families.
-
E.
Strange
"Strange" is a British television series featuring Samantha Womack in a leading role, centered around supernatural and occult investigations.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf28df081908d897d7b9ec7939d |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce865ab4819088221189344b3801 |
completed | May 3, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.