Triple
T26493233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CalSTRS Chief Investment Officer |
E669213
|
entity |
| Predicate | employerAcronym |
P118183
|
FINISHED |
| Object | CalSTRS |
—
|
NE NERFINISHED |
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: CalSTRS | Statement: [CalSTRS Chief Investment Officer, employerAcronym, CalSTRS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employerAcronym Context triple: [CalSTRS Chief Investment Officer, employerAcronym, CalSTRS]
-
A.
organizationAcronym
chosen
Indicates that an organization is known or referred to by a specific acronym.
-
B.
employerIn
Indicates that one entity serves as the employer of another within a specified context, such as a location, organization, or time period.
-
C.
employerType
Indicates the classification or category of an employer in relation to the entity (e.g., public, private, nonprofit, self-employed).
-
D.
employerService
Indicates that one entity provides employment-related services or functions to another entity, typically in the role of an employer.
-
E.
originalCompanyAbbreviation
Indicates that an abbreviation represents the shortened or initial-based form of an original company’s full name.
- 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_69eeb319007081909642b414b114b35a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f657f653448190a945b4751af8507d |
completed | May 2, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69f6575ba12081909396036f78757a76 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 1:06 a.m.