Triple
T10890943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Chambers |
E257170
|
entity |
| Predicate | realWorldStatus |
P88244
|
FINISHED |
| Object | unemployed or underemployed in the real world |
—
|
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: unemployed or underemployed in the real world | Statement: [Jack Chambers, realWorldStatus, unemployed or underemployed in the real world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realWorldStatus Context triple: [Jack Chambers, realWorldStatus, unemployed or underemployed in the real world]
-
A.
realityStatus
Indicates the relationship between an entity and its state of existence or authenticity within a given context or world (e.g., real, fictional, hypothetical, simulated).
-
B.
actualStatus
chosen
Indicates the current, real-world state or condition of an entity, as opposed to a planned, expected, or nominal status.
-
C.
globalStatus
Indicates the overall state or condition of an entity as evaluated at a system-wide or global level.
-
D.
modernStatus
Indicates the current or contemporary condition, classification, or standing of an entity in the present time.
-
E.
localStatus
Indicates the current condition or state of an entity within a specific local context or environment.
- 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_69d6aa8550c8819095508a2ed9acf3db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7520550c4819081296546c8f534f1 |
completed | April 9, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69d70d3943c881908895397eccc3e415 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:21 p.m.