Triple
T12331945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Day After |
E293982
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Red Spyda |
E452140
|
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: Red Spyda | Statement: [The Day After, producer, Red Spyda]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Red Spyda Context triple: [The Day After, producer, Red Spyda]
-
A.
Red Spyda
chosen
Red Spyda is a hip-hop music producer known for crafting gritty, sample-driven beats for prominent rap artists and soundtracks.
-
B.
The Spy
"The Spy" is an 1821 historical novel by James Fenimore Cooper set during the American Revolutionary War, often regarded as one of the earliest major works of American fiction.
-
C.
The Spy
The Spy is a film featuring Russian actress Svetlana Khodchenkova in a prominent role within a Cold War espionage narrative.
-
D.
The Renegade
"The Renegade" is a short story by Shirley Jackson, included in her collection *The Lottery and Other Stories*, that explores themes of cruelty, conformity, and the dark undercurrents of everyday life.
-
E.
My Spy
My Spy is a 2020 action-comedy film in which Dave Bautista plays a tough CIA operative who unexpectedly becomes the guardian and mentor of a precocious young girl.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f634ee08190b4f533505d402219 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e9114f48190988b84eaec2e810f |
completed | May 2, 2026, 3:56 p.m. |
Created at: April 8, 2026, 9:53 p.m.