Triple

T30197993
Position Surface form Disambiguated ID Type / Status
Subject Karen Dalton E767687 entity
Predicate birthName P65 FINISHED
Object Karen J. Cariker
Karen J. Cariker, better known as Karen Dalton, was an American folk and blues singer and guitarist associated with the 1960s Greenwich Village music scene.
 E1930515 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: Karen J. Cariker | Statement: [Karen Dalton, birthName, Karen J. Cariker]
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: Karen J. Cariker
Triple: [Karen Dalton, birthName, Karen J. Cariker]
Generated description
Karen J. Cariker, better known as Karen Dalton, was an American folk and blues singer and guitarist associated with the 1960s Greenwich Village music scene.

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_69f2247db1108190835c0727c97637c3 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69f67fc237608190b6542b56038a7fe4 completed May 2, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a28b06adb3c81908fe7708dacee0ef8 completed June 10, 2026, 12:31 a.m.
NEDg Description generation batch_6a28b16ecc388190bc2b3a63ed96906d completed June 10, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_6a28b28e61f881908ea11ba5951789bd completed June 10, 2026, 12:40 a.m.
Created at: April 29, 2026, 7:30 p.m.