Triple

T27463052
Position Surface form Disambiguated ID Type / Status
Subject Carl Everett E692802 entity
Predicate fullName P16 FINISHED
Object Carl Edward Everett
Carl Edward Everett is a former Major League Baseball outfielder known for his powerful hitting and controversial personality during his career in the 1990s and early 2000s.
 E1775539 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: Carl Edward Everett | Statement: [Carl Everett, fullName, Carl Edward Everett]
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: Carl Edward Everett
Triple: [Carl Everett, fullName, Carl Edward Everett]
Generated description
Carl Edward Everett is a former Major League Baseball outfielder known for his powerful hitting and controversial personality during his career in the 1990s and early 2000s.

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_69ef5207903881909427745cda05d27a completed April 27, 2026, 12:09 p.m.
NER Named-entity recognition batch_69f62dfb084881909cdf5ac0324d1f92 completed May 2, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12bbdcabbc8190b26943ef425d7397 completed May 24, 2026, 8:50 a.m.
NEDg Description generation batch_6a12bcf8cd9c81909f9f001e8a1d4a81 completed May 24, 2026, 8:55 a.m.
NED2 Entity disambiguation (via description) batch_6a12bd75c610819081ae1b4f7fedb4cb completed May 24, 2026, 8:57 a.m.
Created at: April 27, 2026, 12:50 p.m.