Triple

T24801563
Position Surface form Disambiguated ID Type / Status
Subject Kansas City Packers E620536 entity
Predicate notablePlayer P304 FINISHED
Object Nick Cullop
Nick Cullop was an early 20th-century American professional baseball outfielder who played in Major League Baseball, including a stint with the Kansas City Packers of the Federal League.
E1670879 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: Nick Cullop | Statement: [Kansas City Packers, notablePlayer, Nick Cullop]
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: Nick Cullop
Triple: [Kansas City Packers, notablePlayer, Nick Cullop]
Generated description
Nick Cullop was an early 20th-century American professional baseball outfielder who played in Major League Baseball, including a stint with the Kansas City Packers of the Federal League.

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_69e2fabf26bc8190b191faac8f67065b completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f412aacd388190aa3cae919d6bdee2 completed May 1, 2026, 2:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1067a201288190a6e3fee850feeb73 completed May 22, 2026, 2:26 p.m.
NEDg Description generation batch_6a10695d0e648190b51f82934d5f2800 completed May 22, 2026, 2:34 p.m.
NED2 Entity disambiguation (via description) batch_6a1069d0ba8c81908b38818567784552 completed May 22, 2026, 2:36 p.m.
Created at: April 18, 2026, 4:49 a.m.