Triple

T27746779
Position Surface form Disambiguated ID Type / Status
Subject Rafael Palmeiro E702004 entity
Predicate memberOf P10 FINISHED
Object 3000 hit club
The 3000 hit club is an exclusive group of Major League Baseball players who have achieved at least 3,000 career hits, marking one of the sport’s most prestigious offensive milestones.
 E1785203 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: 3000 hit club | Statement: [Rafael Palmeiro, memberOf, 3000 hit club]
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: 3000 hit club
Triple: [Rafael Palmeiro, memberOf, 3000 hit club]
Generated description
The 3000 hit club is an exclusive group of Major League Baseball players who have achieved at least 3,000 career hits, marking one of the sport’s most prestigious offensive milestones.

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_69ef6a53c7388190899baa6daf42301c completed April 27, 2026, 1:53 p.m.
NER Named-entity recognition batch_69f6371a823c8190a75f3702c45bb41f completed May 2, 2026, 5:40 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12e47be9a881909c6ebb0a624b57fe completed May 24, 2026, 11:43 a.m.
NEDg Description generation batch_6a12e528463c819087d479b960e660d2 completed May 24, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_6a12e58a24a08190baec56a49e9f24e8 completed May 24, 2026, 11:48 a.m.
Created at: April 27, 2026, 4:16 p.m.