Triple
T34999038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | kidnapped Santa Claus |
E1009615
|
entity |
| Predicate | abductionIntendedFor |
P182474
|
FINISHED |
| Object | bringing Santa to Halloween Town |
—
|
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: bringing Santa to Halloween Town | Statement: [kidnapped Santa Claus, abductionIntendedFor, bringing Santa to Halloween Town]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: abductionIntendedFor Context triple: [kidnapped Santa Claus, abductionIntendedFor, bringing Santa to Halloween Town]
-
A.
abductedFrom
Indicates that an entity was forcibly taken away or kidnapped from a specified location or source.
-
B.
abductedIn
Indicates that an entity was forcibly taken or kidnapped at or during a specified time or event.
-
C.
abductedBy
Indicates that an entity has been forcibly taken or carried away by another entity against their will.
-
D.
abductedThrough
Indicates that an abduction occurred by means of, or via the use of, a specified method, channel, or intermediary.
-
E.
abductionContext
Indicates a contextual relationship in which an abduction event occurs, specifying the surrounding circumstances, conditions, or setting of that abduction.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78dbf72648190a4971a558e9d1889 |
completed | May 3, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
| PDg | Predicate description generation | batch_69f78ce43094819093857fc99f269afe |
completed | May 3, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:01 p.m.