Triple

T32234612
Position Surface form Disambiguated ID Type / Status
Subject Baby Daddy E823432 entity
Predicate characterRole P268 FINISHED
Object Ben Wheeler is the young single father.
Ben Wheeler is the main protagonist of the sitcom "Baby Daddy," a charming but often immature young man whose life is transformed when he unexpectedly becomes a single father.
 E1997282 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 Wheeler is the young single father. | Statement: [Baby Daddy, characterRole, Ben Wheeler is the young single father.]
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 Wheeler is the young single father.
Triple: [Baby Daddy, characterRole, Ben Wheeler is the young single father.]
Generated description
Ben Wheeler is the main protagonist of the sitcom "Baby Daddy," a charming but often immature young man whose life is transformed when he unexpectedly becomes a single father.

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_69f3490c140481908ed53b98b561eaa1 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6bbfd73408190b7b74011bec92a8a completed May 3, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2f3babc0e081908a025cc70e51e986 completed June 14, 2026, 11:39 p.m.
NEDg Description generation batch_6a2f3cb660408190be91963d2c197ae5 completed June 14, 2026, 11:43 p.m.
NED2 Entity disambiguation (via description) batch_6a2f3f0709708190bafa7dc0708d64b4 completed June 14, 2026, 11:53 p.m.
Created at: May 1, 2026, 12:39 a.m.