Triple

T36201154
Position Surface form Disambiguated ID Type / Status
Subject Stand Up E1047263 entity
Predicate composer P1361 FINISHED
Object Joshuah Brian Campbell
Joshuah Brian Campbell is an American composer, singer, and activist known for his powerful, socially conscious music, including the Oscar-nominated song "Stand Up" from the film *Harriet*.
E2178991 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: Joshuah Brian Campbell | Statement: [Stand Up, composer, Joshuah Brian Campbell]
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: Joshuah Brian Campbell
Triple: [Stand Up, composer, Joshuah Brian Campbell]
Generated description
Joshuah Brian Campbell is an American composer, singer, and activist known for his powerful, socially conscious music, including the Oscar-nominated song "Stand Up" from the film *Harriet*.

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_69f76e414bdc8190996f15a544220a3d completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b54c097c8190875bbfa49b997300 completed May 3, 2026, 8:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a397d6ded9c819086fa511a0ae45431 completed June 22, 2026, 6:22 p.m.
NEDg Description generation batch_6a3984fce27c8190ad070b07f634d621 completed June 22, 2026, 6:54 p.m.
NED2 Entity disambiguation (via description) batch_6a398602687481909c04e4e937a23517 completed June 22, 2026, 6:59 p.m.
Created at: May 3, 2026, 4:08 p.m.