Triple

T18820541
Position Surface form Disambiguated ID Type / Status
Subject Back to the Future (film score) E460250 entity
Predicate orchestrator P4735 FINISHED
Object James B. Campbell
James B. Campbell is a music professional known for his orchestration work on major film scores, including the soundtrack to "Back to the Future."
E2172921 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 B. Campbell | Statement: [Back to the Future (film score), orchestrator, James B. 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: James B. Campbell
Triple: [Back to the Future (film score), orchestrator, James B. Campbell]
Generated description
James B. Campbell is a music professional known for his orchestration work on major film scores, including the soundtrack to "Back to the Future."

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_69d8dcf94c288190a06dea029ae4b223 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5a6b9be988190b5e3804c39dc7dd9 completed April 20, 2026, 4:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3933e4d1dc8190ae47801d66b4c5ba completed June 22, 2026, 1:08 p.m.
NEDg Description generation batch_6a39351ee9748190b08fad77b957ddac completed June 22, 2026, 1:14 p.m.
NED2 Entity disambiguation (via description) batch_6a3935c7c474819083a169b6b4eafd9c completed June 22, 2026, 1:16 p.m.
Created at: April 10, 2026, 11:55 a.m.