Triple

T36014533
Position Surface form Disambiguated ID Type / Status
Subject Fox Major League Baseball E1041800 entity
Predicate mainBroadcaster P56063 FINISHED
Object Joe Davis
Joe Davis is an American sportscaster best known as the lead play-by-play announcer for Major League Baseball on Fox and the television voice of the Los Angeles Dodgers.
E2165491 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: Joe Davis | Statement: [Fox Major League Baseball, mainBroadcaster, Joe Davis]
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: Joe Davis
Triple: [Fox Major League Baseball, mainBroadcaster, Joe Davis]
Generated description
Joe Davis is an American sportscaster best known as the lead play-by-play announcer for Major League Baseball on Fox and the television voice of the Los Angeles Dodgers.

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_69f76e2b981881908e4e160607fa82eb completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7acb62b748190891abc766a339b23 completed May 3, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38bffc5e408190b7cc53775daee3fd completed June 22, 2026, 4:54 a.m.
NEDg Description generation batch_6a38c0a93ce881908c7f774b519e5247 completed June 22, 2026, 4:57 a.m.
NED2 Entity disambiguation (via description) batch_6a38c146238481909a2d82cd040468f6 completed June 22, 2026, 4:59 a.m.
Created at: May 3, 2026, 4:07 p.m.