Triple
T21097352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frederick Crute |
E519801
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Red Alert |
—
|
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: Red Alert | Statement: [Frederick Crute, alsoKnownAs, Red Alert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Alert Context triple: [Frederick Crute, alsoKnownAs, Red Alert]
-
A.
Red Alert
Red Alert is a Cold War-era thriller novel by Peter George that explores the terrifying prospect of accidental nuclear war between global superpowers.
-
B.
Red Alert
chosen
Red Alert is a pioneering New York City hip hop DJ and radio personality known for helping break numerous rap artists in the 1980s and 1990s.
-
C.
Red Alert
"Red Alert" is a popular 1999 house track by British electronic music duo Basement Jaxx, known for its funky groove and distinctive vocal hooks.
-
D.
Red Alert
Red Alert is an Autobot security officer from the Transformers franchise, typically depicted as a white and red Lamborghini-based robot known for his paranoia and strict adherence to protocol.
-
E.
Red Alarm
Red Alarm is a 1995 wireframe 3D space shooter for Nintendo’s Virtual Boy, known for showcasing the system’s stereoscopic graphics despite its minimalist visuals.
- 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_69e0b508d8dc81909be940dafe36c8f7 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e71b5a3a9481908e30fba9717dc461 |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 2:52 p.m.