Triple
T16151463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Personnel Administrator of Massachusetts v. Feeney |
E391917
|
entity |
| Predicate | factualContext |
P36
|
FINISHED |
| Object | Because the vast majority of veterans in Massachusetts were men, the veterans’ preference effectively disadvantaged women applicants for civil service jobs. |
—
|
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: Because the vast majority of veterans in Massachusetts were men, the veterans’ preference effectively disadvantaged women applicants for civil service jobs. | Statement: [Personnel Administrator of Massachusetts v. Feeney, factualContext, Because the vast majority of veterans in Massachusetts were men, the veterans’ preference effectively disadvantaged women applicants for civil service jobs.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: factualContext Context triple: [Personnel Administrator of Massachusetts v. Feeney, factualContext, Because the vast majority of veterans in Massachusetts were men, the veterans’ preference effectively disadvantaged women applicants for civil service jobs.]
-
A.
contextOf
Indicates that one entity provides the situational, informational, or environmental background within which another entity exists, occurs, or is interpreted.
-
B.
context
chosen
Indicates that one entity provides the surrounding circumstances, setting, or background within which another entity, event, or statement occurs or is interpreted.
-
C.
contextSensitive
Indicates that the relationship or behavior depends on the surrounding context or situation rather than being fixed or absolute.
-
D.
canonicalContext
Indicates the standard or primary contextual framework within which an entity, statement, or resource is to be interpreted.
-
E.
factionContext
Indicates the broader group, side, or organizational alignment within which an entity’s actions, roles, or relationships take place.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21d981950819087fdacc7879dca97 |
completed | April 17, 2026, 11:46 a.m. |
| PD | Predicate disambiguation | batch_69e1828abb608190a99d86bce1d77de2 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:01 a.m.