Triple
T4999066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gurgling Suitcase Libations & Spirits |
E112321
|
entity |
| Predicate | targetCustomerGroup |
P481
|
FINISHED |
| Object | Walt Disney World guests |
—
|
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: Walt Disney World guests | Statement: [Gurgling Suitcase Libations & Spirits, targetCustomerGroup, Walt Disney World guests]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetCustomerGroup Context triple: [Gurgling Suitcase Libations & Spirits, targetCustomerGroup, Walt Disney World guests]
-
A.
targetsGroup
Indicates that an action, influence, or effect is directed toward a specific group as its intended recipient or focus.
-
B.
targetMarket
chosen
Indicates the group of consumers or organizations that a product, service, or campaign is specifically intended and designed to reach.
-
C.
targetStudentGroup
Indicates a relationship where something is directed, tailored, or intended specifically for a particular group of students.
-
D.
targetedPopulation
Indicates the group of individuals or entities that an action, intervention, or effect is specifically directed toward.
-
E.
customerType
Indicates the classification or category assigned to a customer based on their characteristics, status, or relationship with a business.
- 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_69bd4432b32c81909f3b3c6bd10f0653 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7472a1dc8190942f568a81fdd961 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd714aee2481908fb0dd5fa2daf3a1 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:34 p.m.