Triple
T9279959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kate Flannery |
E223041
|
entity |
| Predicate | hasTelevisionAppearance |
P10205
|
FINISHED |
| Object | Boomers |
E247524
|
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: Boomers | Statement: [Kate Flannery, hasTelevisionAppearance, Boomers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boomers Context triple: [Kate Flannery, hasTelevisionAppearance, Boomers]
-
A.
Boomers
chosen
Boomers is a British television sitcom that follows the intertwined lives of three retired couples navigating the ups and downs of later life.
-
B.
Boomers
The Boomers are Australia's senior men's national basketball team, known for competing at the highest international level including the Olympics and FIBA World Cup.
-
C.
Baby Boomers
Baby Boomers are the post–World War II generation born roughly between 1946 and 1964, often associated with significant social, cultural, and economic influence in many Western societies.
-
D.
Boomer
Boomer is the popular nickname of Norman "Boomer" Esiason, a former NFL quarterback and current sports broadcaster.
-
E.
Boomer
Boomer is a former secondary mascot of the NHL’s Columbus Blue Jackets, known for his cannon-inspired design and brief, controversial tenure.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07cc79508190954defbef0d82a64 |
completed | April 1, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c52e2608190bb92d65785f51205 |
completed | April 4, 2026, 5:06 a.m. |
Created at: March 30, 2026, 7:34 p.m.