Triple

T26989604
Position Surface form Disambiguated ID Type / Status
Subject Enlisted E679830 entity
Predicate mainCharacter P1183 FINISHED
Object Staff Sergeant Pete Hill
Staff Sergeant Pete Hill is the central protagonist of the military-themed sitcom "Enlisted," portrayed as a capable but often exasperated soldier leading a rear detachment unit alongside his two brothers.
 E1751938 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: Staff Sergeant Pete Hill | Statement: [Enlisted, mainCharacter, Staff Sergeant Pete Hill]
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: Staff Sergeant Pete Hill
Triple: [Enlisted, mainCharacter, Staff Sergeant Pete Hill]
Generated description
Staff Sergeant Pete Hill is the central protagonist of the military-themed sitcom "Enlisted," portrayed as a capable but often exasperated soldier leading a rear detachment unit alongside his two brothers.

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_69eeeb5138ac8190b3c273ddc659a54f completed April 27, 2026, 4:51 a.m.
NER Named-entity recognition batch_69f6218eac6c81909b76d7ea67b47e8f completed May 2, 2026, 4:08 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1229b654548190a4713fcd562dac9d completed May 23, 2026, 10:27 p.m.
NEDg Description generation batch_6a122a5774408190b156c205e764e896 completed May 23, 2026, 10:29 p.m.
NED2 Entity disambiguation (via description) batch_6a122b1ce9a48190935b3499f77d0a1e completed May 23, 2026, 10:33 p.m.
Created at: April 27, 2026, 6:50 a.m.