Triple

T13495835
Position Surface form Disambiguated ID Type / Status
Subject Holy Wood (In the Shadow of the Valley of Death) E320760 entity
Predicate hasPart P35 FINISHED
Object Godeatgod
Godeatgod is a dark, industrial-tinged track by Marilyn Manson from his concept album "Holy Wood (In the Shadow of the Valley of Death)."
 E1043843 NE FINISHED

How this triple was built (4 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: Godeatgod | Statement: [Holy Wood (In the Shadow of the Valley of Death), hasPart, Godeatgod]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Godeatgod
Context triple: [Holy Wood (In the Shadow of the Valley of Death), hasPart, Godeatgod]
  • A. Godehoc
    Godehoc was an early king of the Vandals and a notable member of the Lething dynasty who ruled in the 5th century.
  • B. Digod
    Digod is a small town located in the Kota district of the Indian state of Rajasthan.
  • C. Gooigi
    Gooigi is a green, goo-like doppelgänger of Luigi from the Luigi’s Mansion series, used as a playable helper character to solve puzzles and reach otherwise inaccessible areas.
  • D. Iznogoud
    Iznogoud is a French comic book series featuring a scheming grand vizier whose obsessive goal is to overthrow the caliph and become ruler in his place.
  • E. Gode
    Gode is a town in eastern Ethiopia’s Somali Region, known as an administrative and commercial center along the Shabelle River.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Godeatgod
Triple: [Holy Wood (In the Shadow of the Valley of Death), hasPart, Godeatgod]
Generated description
Godeatgod is a dark, industrial-tinged track by Marilyn Manson from his concept album "Holy Wood (In the Shadow of the Valley of Death)."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Godeatgod
Target entity description: Godeatgod is a dark, industrial-tinged track by Marilyn Manson from his concept album "Holy Wood (In the Shadow of the Valley of Death)."
  • A. Godehoc
    Godehoc was an early king of the Vandals and a notable member of the Lething dynasty who ruled in the 5th century.
  • B. Digod
    Digod is a small town located in the Kota district of the Indian state of Rajasthan.
  • C. Gooigi
    Gooigi is a green, goo-like doppelgänger of Luigi from the Luigi’s Mansion series, used as a playable helper character to solve puzzles and reach otherwise inaccessible areas.
  • D. Iznogoud
    Iznogoud is a French comic book series featuring a scheming grand vizier whose obsessive goal is to overthrow the caliph and become ruler in his place.
  • E. Gode
    Gode is a town in eastern Ethiopia’s Somali Region, known as an administrative and commercial center along the Shabelle River.
  • F. None of above. chosen

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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4da2c88190a867b53529d39545 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7463fe0d081908484a7f16859008a completed May 3, 2026, 12:57 p.m.
NEDg Description generation batch_69f74d048250819098baf78ff08c1633 completed May 3, 2026, 1:26 p.m.
NED2 Entity disambiguation (via description) batch_69f750f7f11481908c60b49eef65b63f completed May 3, 2026, 1:43 p.m.
Created at: April 9, 2026, 9:43 p.m.