Triple
T8336934
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jacqueline McKenzie |
E195811
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Romper Stomper |
E25928
|
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: Romper Stomper | Statement: [Jacqueline McKenzie, notableWork, Romper Stomper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romper Stomper Context triple: [Jacqueline McKenzie, notableWork, Romper Stomper]
-
A.
Romper Stomper
chosen
Romper Stomper is a 1992 Australian drama film about violent neo-Nazi skinheads in Melbourne, widely recognized for one of Russell Crowe’s breakout performances.
-
B.
Stomper
Stomper is the elephant mascot of Major League Baseball’s Oakland Athletics.
-
C.
The Thumper
The Thumper was the famous nickname of Ted Williams, the legendary Boston Red Sox slugger widely regarded as one of the greatest hitters in baseball history.
-
D.
Stompa
"Stompa" is a hit pop-rock single by Canadian singer-songwriter Serena Ryder, known for its upbeat, soulful sound and widespread radio success.
-
E.
Kaboom
Kaboom is a 2010 surreal coming-of-age dark comedy film written and directed by Gregg Araki.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd5027c81909724f25aa30bbe58 |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd95e17300819090e405c4c60b280d |
completed | April 1, 2026, 10:02 p.m. |
Created at: March 30, 2026, 5:57 p.m.