Triple
T20855886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Transformers: Masterpiece |
E513477
|
entity |
| Predicate | includesCharacter |
P5716
|
FINISHED |
| Object | Sideswipe |
—
|
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: Sideswipe | Statement: [Transformers: Masterpiece, includesCharacter, Sideswipe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sideswipe Context triple: [Transformers: Masterpiece, includesCharacter, Sideswipe]
-
A.
Sideswipe
chosen
Sideswipe is an Autobot warrior from the Transformers franchise, typically portrayed as a sleek, high-speed combat specialist.
-
B.
The Mack
The Mack is a 1973 blaxploitation crime film centered on a charismatic pimp navigating power struggles in Oakland’s criminal underworld.
-
C.
Westy
Westy was the widely used nickname of General William Westmoreland, the U.S. Army officer who commanded American forces during the Vietnam War.
-
D.
Wheeljack
Wheeljack is a brilliant yet reckless Autobot engineer and inventor from the Transformers franchise, known for creating experimental gadgets and weapons.
-
E.
Carreen
Carreen is a fictional character from Margaret Mitchell's novel "Gone with the Wind," known as the gentle and devout younger sister of Scarlett O'Hara.
- 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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3a81ac4819084a07625b8ed4ec5 |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 12:44 p.m.