Triple
T7969516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hitchhiking Ghosts |
E185287
|
entity |
| Predicate | hasCatchConcept |
P531
|
FINISHED |
| Object | “a ghost will follow you home” gag |
—
|
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: “a ghost will follow you home” gag | Statement: [Hitchhiking Ghosts, hasCatchConcept, “a ghost will follow you home” gag]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatchConcept Context triple: [Hitchhiking Ghosts, hasCatchConcept, “a ghost will follow you home” gag]
-
A.
canBeCaughtWith
Indicates that one entity is capable of being captured, obtained, or discovered using another specified entity or method.
-
B.
hasConcept
chosen
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
C.
hasCriticalConcept
Indicates that one entity includes, depends on, or is defined by a key concept that is essential to understanding or functioning of another entity.
-
D.
hasImplementedConcept
Indicates that an entity has put a particular concept into practice or realized it in an implemented form.
-
E.
catches
Indicates that one entity successfully seizes, intercepts, or takes hold of another entity, often stopping its motion or preventing its escape.
- 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_69ca8297699481909b75a405f01e03af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3bd1c9a081909759e5bf5237204e |
completed | March 31, 2026, 3:13 a.m. |
| PD | Predicate disambiguation | batch_69cb047a8e4c81909b79e0f0bf56440c |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:13 p.m.