Triple
T6385221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frisch elasticity of labor supply |
E143682
|
entity |
| Predicate | typicalEmpiricalFinding |
P12230
|
FINISHED |
| Object | small for prime-age males |
—
|
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: small for prime-age males | Statement: [Frisch elasticity of labor supply, typicalEmpiricalFinding, small for prime-age males]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEmpiricalFinding Context triple: [Frisch elasticity of labor supply, typicalEmpiricalFinding, small for prime-age males]
-
A.
notableFinding
Indicates that an observation, result, or piece of evidence is considered significant or noteworthy in the given context.
-
B.
confirmedFinding
Indicates that a finding or observation has been verified as true or accurate, rather than being tentative or suspected.
-
C.
clinicalSignOf
Indicates that one clinical sign is evidence or manifestation of a particular disease, condition, or underlying medical state.
-
D.
typicalFeatures
Indicates that the related entities are characteristic or commonly occurring features or attributes of something.
-
E.
typicalIn
chosen
Indicates that something commonly occurs, appears, or is found within a given context, category, 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_69c008dac1ec81909cef8157ccd69962 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0686764648190864163d390db292d |
completed | March 22, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69c060eff524819094cee1c70a0c1ff4 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:34 p.m.