Triple
T27936489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ink and Paint Club |
E700626
|
entity |
| Predicate | toonStatus |
P163794
|
FINISHED |
| Object | toons work there but are not allowed as customers |
—
|
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: toons work there but are not allowed as customers | Statement: [Ink and Paint Club, toonStatus, toons work there but are not allowed as customers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: toonStatus Context triple: [Ink and Paint Club, toonStatus, toons work there but are not allowed as customers]
-
A.
statusInTOS
Indicates the status or condition of something as defined or specified within a Terms of Service agreement.
-
B.
exportStatus
Indicates the current state or outcome of an entity’s export process (e.g., pending, in progress, completed, or failed).
-
C.
ianaStatus
Indicates the current registration or operational state of an item as defined by the Internet Assigned Numbers Authority (IANA).
-
D.
actualStatus
Indicates the current, real-world state or condition of an entity, as opposed to a planned, expected, or nominal status.
-
E.
classStatus
Indicates the current academic or enrollment standing of an entity within a class or course context.
- 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_69ef6a5028108190a14696d9821dde49 |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f63c045bd081908e0cb2a119202e8f |
completed | May 2, 2026, 6:01 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f63b3039808190b00bbd19161487f3 |
completed | May 2, 2026, 5:58 p.m. |
Created at: April 27, 2026, 7:13 p.m.