Triple

T26493065
Position Surface form Disambiguated ID Type / Status
Subject Investment Committee (CalPERS) E669208 entity
Predicate worksWith P398 FINISHED
Object CalPERS Chief Investment Officer
The CalPERS Chief Investment Officer is the top executive responsible for overseeing and directing the investment strategy and portfolio management of the California Public Employees’ Retirement System.
E1730391 NE 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: CalPERS Chief Investment Officer | Statement: [Investment Committee (CalPERS), worksWith, CalPERS Chief Investment Officer]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: CalPERS Chief Investment Officer
Triple: [Investment Committee (CalPERS), worksWith, CalPERS Chief Investment Officer]
Generated description
The CalPERS Chief Investment Officer is the top executive responsible for overseeing and directing the investment strategy and portfolio management of the California Public Employees’ Retirement System.

Provenance (5 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_69f613535c1c81908e8da8d785be0cb4 completed May 2, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a11c809f50481909235b792429b8af6 completed May 23, 2026, 3:30 p.m.
NEDg Description generation batch_6a11c873b0d4819082b1c2e6859767ff completed May 23, 2026, 3:32 p.m.
NED2 Entity disambiguation (via description) batch_6a11c901b7c48190a86f5989c70ab615 completed May 23, 2026, 3:34 p.m.
Created at: April 27, 2026, 1:06 a.m.