Triple
T3620552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Class Clown |
E76712
|
entity |
| Predicate | helpedCementStatusOf |
P27548
|
FINISHED |
| Object | George Carlin as a leading stand-up comedian |
—
|
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: George Carlin as a leading stand-up comedian | Statement: [Class Clown, helpedCementStatusOf, George Carlin as a leading stand-up comedian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpedCementStatusOf Context triple: [Class Clown, helpedCementStatusOf, George Carlin as a leading stand-up comedian]
-
A.
statusIndicates
Indicates that a particular status value conveys or reflects the current condition, state, or situation of an entity or process.
-
B.
strengthenedStatusOf
chosen
Indicates that the status, condition, or standing of one entity has been made stronger or more robust in relation to another entity or context.
-
C.
status
Indicates the current condition, state, or standing of an entity within a given context.
-
D.
reconstructionStatus
Indicates the current state or phase of a reconstruction process that an entity is undergoing or has undergone.
-
E.
commissionedStatus
Indicates whether an entity has been formally authorized, activated, or placed into official service or duty.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2b9aa608190a680b250ecf63156 |
completed | March 8, 2026, 6:40 p.m. |
| PD | Predicate disambiguation | batch_69adb83f1e4c8190ab501c1c05b14c08 |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:23 p.m.