Triple
T34998695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oogie Boogie’s Song |
E1009607
|
entity |
| Predicate | fictionalEventDepicted |
P97496
|
FINISHED |
| Object | Oogie Boogie torturing Santa Claus |
—
|
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: Oogie Boogie torturing Santa Claus | Statement: [Oogie Boogie’s Song, fictionalEventDepicted, Oogie Boogie torturing Santa Claus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fictionalEventDepicted Context triple: [Oogie Boogie’s Song, fictionalEventDepicted, Oogie Boogie torturing Santa Claus]
-
A.
capturedInFictionalEvent
Indicates that an entity is depicted as being captured during a fictional event or scenario.
-
B.
fictionalEventMarked
Indicates that an event is identified or designated as fictional rather than real.
-
C.
associatedWithFictionalEvent
chosen
Indicates that an entity has a connection or involvement with a fictional event, such as being based on, inspired by, or participating in that imagined occurrence.
-
D.
fictionalUniverseEvent
Indicates an event or occurrence that takes place within a specific fictional universe or narrative continuity.
-
E.
hasFictionalEventType
Indicates that something is associated with, characterized by, or classified under a particular type or category of fictional event.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fee0b2da3c8190a3519d0564f2f32d |
completed | May 9, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69fee05b315c819081dfcbfb15273487 |
completed | May 9, 2026, 7:20 a.m. |
Created at: May 3, 2026, 4:01 p.m.