Triple
T21044778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aimee Garcia |
E518419
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Lucifer |
—
|
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: Lucifer | Statement: [Aimee Garcia, notableWork, Lucifer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucifer Context triple: [Aimee Garcia, notableWork, Lucifer]
-
A.
Lucifer
Lucifer is the fallen angel and ruler of Hell in Dante Alighieri’s Divine Comedy, embodying ultimate evil and the antithesis of divine order.
-
B.
Lucifer
Lucifer is the sly, spoiled pet cat of Lady Tremaine in Disney’s Cinderella, known for tormenting Cinderella and her animal friends.
-
C.
Lucifer
chosen
"Lucifer" is an American urban fantasy television series that follows Lucifer Morningstar, the Devil, as he abandons Hell to run a Los Angeles nightclub and consult for the LAPD.
-
D.
Lucifer
Lucifer is a famous 1890 painting by German Symbolist artist Franz von Stuck, depicting a brooding, monumental figure of the fallen angel.
-
E.
I, Lucifer
"I, Lucifer" is a concept album by The Real Tuesday Weld that blends cabaret-pop, jazz, and electronic elements to musically interpret Glen Duncan’s novel of the same name from the Devil’s perspective.
- 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fcf2fc4881909b9e3400864e6b82 |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:30 p.m.