Triple

T35281295
Position Surface form Disambiguated ID Type / Status
Subject Keith Emerson E1018939 entity
Predicate notableWork P4 FINISHED
Object Murderock (film score)
Murderock (film score) is a 1984 horror film soundtrack composed by progressive rock keyboardist Keith Emerson, blending synthesizer-driven themes with suspenseful orchestral elements.
E2132979 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: Murderock (film score) | Statement: [Keith Emerson, notableWork, Murderock (film score)]
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: Murderock (film score)
Triple: [Keith Emerson, notableWork, Murderock (film score)]
Generated description
Murderock (film score) is a 1984 horror film soundtrack composed by progressive rock keyboardist Keith Emerson, blending synthesizer-driven themes with suspenseful orchestral elements.

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_69f76de6d39c8190bb11342e4b91ff2b completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78fdaeaf88190a6b24a96634ddfe1 completed May 3, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a380fc313f88190a6333d1b2aa19b0f completed June 21, 2026, 4:22 p.m.
NEDg Description generation batch_6a38106b8b0081909031870bdf9025a3 completed June 21, 2026, 4:25 p.m.
NED2 Entity disambiguation (via description) batch_6a381171e0d88190bce95a7ed5907c20 completed June 21, 2026, 4:29 p.m.
Created at: May 3, 2026, 4:03 p.m.