Triple
T37536755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Krampuslauf |
E933218
|
entity |
| Predicate | portraysKrampusAs |
P200697
|
FINISHED |
| Object | horned demonic figure |
—
|
LITERAL 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: horned demonic figure | Statement: [Krampuslauf, portraysKrampusAs, horned demonic figure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysKrampusAs Context triple: [Krampuslauf, portraysKrampusAs, horned demonic figure]
-
A.
roleInTheNightmareBeforeChristmas
Indicates the specific role or character that an entity has in the movie "The Nightmare Before Christmas."
-
B.
portraysPersonAs
Indicates that one entity represents, depicts, or characterizes another person in a particular way or role.
-
C.
portraysDragonAs
Indicates that one entity represents or depicts a dragon in a particular way, role, or characterization.
-
D.
portraysVampiresAs
Indicates how something represents or depicts vampires, especially in terms of their nature, traits, or role.
-
E.
portraysCharacterIn
Indicates that one entity depicts or represents a particular character within a work, such as a film, show, or other narrative medium.
- F. None of above. chosen
Provenance (4 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ffa15d53208190ab8574d6c7913e18 |
completed | May 9, 2026, 9:04 p.m. |
| PD | Predicate disambiguation | batch_69ff9eee681c81909434e79c627cb528 |
completed | May 9, 2026, 8:54 p.m. |
| PDg | Predicate description generation | batch_69ffa15c3f348190a59403bc72ac9ed4 |
completed | May 9, 2026, 9:04 p.m. |
Created at: May 3, 2026, 4:17 p.m.