Triple

T24344342
Position Surface form Disambiguated ID Type / Status
Subject 2008 MLB All-Star Game E613597 entity
Predicate NLStartingPitcher P10848 FINISHED
Object Ben Sheets
Ben Sheets is a former Major League Baseball right-handed starting pitcher, best known for his dominant tenure with the Milwaukee Brewers and multiple All-Star selections.
E1632371 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: Ben Sheets | Statement: [2008 MLB All-Star Game, NLStartingPitcher, Ben Sheets]
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: Ben Sheets
Triple: [2008 MLB All-Star Game, NLStartingPitcher, Ben Sheets]
Generated description
Ben Sheets is a former Major League Baseball right-handed starting pitcher, best known for his dominant tenure with the Milwaukee Brewers and multiple All-Star selections.

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_69e2d7dcc5a08190b53691130d56cbc4 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f293270c908190872e0ec38f391fa5 completed April 29, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd6612e788190ad8f9bdc5271e012 completed May 22, 2026, 4:06 a.m.
NEDg Description generation batch_6a0fd889dc948190b7f36a66be17ca15 completed May 22, 2026, 4:16 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd8e5ce10819096e6cdff28c1b3a2 completed May 22, 2026, 4:17 a.m.
Created at: April 18, 2026, 1:58 a.m.