Triple
T12266327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Power Up |
E292355
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Code Red |
E700323
|
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: Code Red | Statement: [Power Up, hasPart, Code Red]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Code Red Context triple: [Power Up, hasPart, Code Red]
-
A.
Code Red
chosen
Code Red is a notable musical work performed by the artist Trenches.
-
B.
Code Red (album)
Code Red is a 2015 R&B album by American singer Monica that blends contemporary production with her signature soulful vocals and themes of resilience and empowerment.
-
C.
Crisis in the Red Zone
Crisis in the Red Zone is a nonfiction book by Richard Preston that chronicles the 2013–2016 West African Ebola epidemic, blending medical investigation with human stories of the outbreak.
-
D.
Case Red
Case Red was the German military plan for the second phase of the 1940 Western offensive, focusing on the rapid defeat and occupation of the remaining French forces after the initial breakthrough.
-
E.
The Red Zone
The Red Zone is the official Stanford University student cheering section known for its energetic support at Cardinal football games.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cdc42988190b4e2a6591a6f919d |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e65bc00819091e4fee3c3af6f4f |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.