Triple
T17360536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basement Jaxx |
E422055
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Red Alert |
—
|
NE ONDG |
How this triple was built (4 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: [Basement Jaxx, notableWork, Red Alert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Alert Context triple: [Basement Jaxx, notableWork, 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
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 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.
-
D.
Second Strike
Second Strike is a military thriller novel by Richard P. Henrick that explores the tensions and high-stakes decision-making aboard a U.S. nuclear submarine during a Cold War crisis.
-
E.
World in Conflict
World in Conflict is a real-time tactics video game set in an alternate-history Cold War scenario, known for its cinematic presentation and large-scale, team-based multiplayer battles.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Red Alert Triple: [Basement Jaxx, notableWork, Red Alert]
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Red Alert Target entity description: "Red Alert" is a popular 1999 house track by British electronic music duo Basement Jaxx, known for its funky groove and distinctive vocal hooks.
-
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
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 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.
-
D.
Second Strike
Second Strike is a military thriller novel by Richard P. Henrick that explores the tensions and high-stakes decision-making aboard a U.S. nuclear submarine during a Cold War crisis.
-
E.
World in Conflict
World in Conflict is a real-time tactics video game set in an alternate-history Cold War scenario, known for its cinematic presentation and large-scale, team-based multiplayer battles.
- F. None of above. chosen
Provenance (4 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_69d889d520008190a26917a95bf1c2ea |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a4cacd881909fd722068b019f25 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195609d988190b7a70f8eabf75eaa |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a01962ae4848190b2aad8e19bf6522f |
in_progress | May 11, 2026, 8:41 a.m. |
Created at: April 10, 2026, 5:44 a.m.