Triple

T20673268
Position Surface form Disambiguated ID Type / Status
Subject The King Family Show E508086 entity
Predicate executiveProducer P7225 FINISHED
Object James L. Baughman
James L. Baughman was a television producer best known for his work as executive producer of the musical variety program "The King Family Show" in the 1960s.
E2004873 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: James L. Baughman | Statement: [The King Family Show, executiveProducer, James L. Baughman]
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: James L. Baughman
Triple: [The King Family Show, executiveProducer, James L. Baughman]
Generated description
James L. Baughman was a television producer best known for his work as executive producer of the musical variety program "The King Family Show" in the 1960s.

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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5cca8808190a60ee28c7ea46412 completed April 20, 2026, 11:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a33e87380b081908b73a1664aad437e completed June 18, 2026, 12:45 p.m.
NEDg Description generation batch_6a33ec5978f48190bc071890e348dbac completed June 18, 2026, 1:02 p.m.
NED2 Entity disambiguation (via description) batch_6a3449bf8fbc8190bc342a6ab2a03dca completed June 18, 2026, 7:40 p.m.
Created at: April 16, 2026, 11:44 a.m.