Triple
T36937316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Der Riese |
E913653
|
entity |
| Predicate | hasMusicEasterEgg |
P186755
|
FINISHED |
| Object | “Beauty of Annihilation” |
—
|
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: “Beauty of Annihilation” | Statement: [Der Riese, hasMusicEasterEgg, “Beauty of Annihilation”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicEasterEgg Context triple: [Der Riese, hasMusicEasterEgg, “Beauty of Annihilation”]
-
A.
hasEasterEggsFrom
Indicates that something contains or includes hidden features, messages, or surprises that originate from or are created by a specified source.
-
B.
easterEggSong
chosen
Indicates a hidden or secret song that is revealed only through special actions, conditions, or discoveries.
-
C.
vocalistForMusicEasterEgg
Indicates that a person serves as the vocalist featured in a specific music-related Easter egg.
-
D.
hasFictionalSong
Indicates that one entity includes, features, or is associated with a song that is fictional or exists only within a narrative context.
-
E.
hasSpecialSong
Indicates that one entity possesses or is associated with a particular song that is unique, distinctive, or specially designated for it.
- F. None of above.
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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fe920a437081908d5174e8cf7a53a6 |
completed | May 9, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69fe919a9a6c8190acb4483f386e6db7 |
completed | May 9, 2026, 1:44 a.m. |
Created at: May 3, 2026, 4:13 p.m.