Triple

T35728228
Position Surface form Disambiguated ID Type / Status
Subject Chief Justice of the Connecticut Supreme Court E1032673 entity
Predicate officeHoldersInclude P537 FINISHED
Object William M. Maltbie
William M. Maltbie was an American jurist who served as a leading figure on Connecticut’s highest court, ultimately becoming its chief justice.
 E2153303 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: William M. Maltbie | Statement: [Chief Justice of the Connecticut Supreme Court, officeHoldersInclude, William M. Maltbie]
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: William M. Maltbie
Triple: [Chief Justice of the Connecticut Supreme Court, officeHoldersInclude, William M. Maltbie]
Generated description
William M. Maltbie was an American jurist who served as a leading figure on Connecticut’s highest court, ultimately becoming its chief justice.

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_69f76e102b5881909e5d63a30a5cecbe completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a132bd04819080edfe6ea2d6ca0b completed May 3, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a387d1b3ac88190995863de0b0358b7 completed June 22, 2026, 12:08 a.m.
NEDg Description generation batch_6a387de3bc6c8190900f31b768ed57c8 completed June 22, 2026, 12:12 a.m.
NED2 Entity disambiguation (via description) batch_6a388040b9b48190b8e3ed03ab9f9bf3 completed June 22, 2026, 12:22 a.m.
Created at: May 3, 2026, 4:05 p.m.