Triple
T31864269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Democracy |
E813408
|
entity |
| Predicate | followsInKillingJokeSinglesChronology |
P104670
|
FINISHED |
| Object | Exorcism |
—
|
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: Exorcism | Statement: [Democracy, followsInKillingJokeSinglesChronology, Exorcism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsInKillingJokeSinglesChronology Context triple: [Democracy, followsInKillingJokeSinglesChronology, Exorcism]
-
A.
precedesInKillingJokeSinglesChronology
Indicates that one single in the "Killing Joke" discography was released before another in the chronological sequence of their singles.
-
B.
followsInReleaseChronology
chosen
Indicates that one entity is released after another in a chronological sequence of releases.
-
C.
worksInSeriesWith
Indicates that one entity collaborates or participates together with another entity within the same series or serialized work.
-
D.
hasSerialKiller
Indicates that one entity is a serial killer associated with, responsible for, or targeting another entity.
-
E.
isFollowedByInKodakBlackSinglesChronology
Indicates that one single directly succeeds another in the chronological release order of Kodak Black’s singles.
- 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_69f348ecb07481909c8f72619131b115 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fdb45537288190b6791078d4a6899f |
completed | May 8, 2026, 10 a.m. |
| PD | Predicate disambiguation | batch_69fdb39ad96481908376d7def9fafc13 |
completed | May 8, 2026, 9:57 a.m. |
Created at: April 30, 2026, 11:53 p.m.