Triple

T36087243
Position Surface form Disambiguated ID Type / Status
Subject The Dope Show E1043815 entity
Predicate precededBySingle P97 FINISHED
Object Long Hard Road Out of Hell
"Long Hard Road Out of Hell" is a 1997 industrial metal song by Marilyn Manson, recorded with producer Trent Reznor for the soundtrack of the film "Spawn."
E2169019 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: Long Hard Road Out of Hell | Statement: [The Dope Show, precededBySingle, Long Hard Road Out of Hell]
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: Long Hard Road Out of Hell
Triple: [The Dope Show, precededBySingle, Long Hard Road Out of Hell]
Generated description
"Long Hard Road Out of Hell" is a 1997 industrial metal song by Marilyn Manson, recorded with producer Trent Reznor for the soundtrack of the film "Spawn."

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_69f76e32d60c8190ba781ffaaab4aa3d completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b26365848190aeb382a2c88cb405 completed May 3, 2026, 8:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38d5443860819098aa9e1c84659f91 completed June 22, 2026, 6:25 a.m.
NEDg Description generation batch_6a38d5d437108190828489b1918e769f completed June 22, 2026, 6:27 a.m.
NED2 Entity disambiguation (via description) batch_6a38d69d54f48190b43baa60bfa8fe85 completed June 22, 2026, 6:30 a.m.
Created at: May 3, 2026, 4:08 p.m.