Triple

T4161787
Position Surface form Disambiguated ID Type / Status
Subject Helmet E91547 entity
Predicate notableSong P4 FINISHED
Object Ironhead
"Ironhead" is a song best known for its association with the band Helmet, showcasing their heavy, riff-driven alternative metal style.
 E416623 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: Ironhead | Statement: [Helmet, notableSong, Ironhead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ironhead
Context triple: [Helmet, notableSong, Ironhead]
  • A. Ironhead
    Ironhead is the nickname of William "Ironhead" Miller, best known as the central character in the 1975 American football comedy film "The Longest Yard."
  • B. Mastodon
    Mastodon is an American progressive/sludge metal band known for its complex compositions, concept albums, and critical acclaim within the modern metal scene.
  • C. Lord Huron
    Lord Huron is an American indie folk band known for its cinematic, atmospheric sound and storytelling-driven songs such as "The Night We Met."
  • D. Godspeed
    Godspeed was one of the three ships that carried English settlers to establish the Jamestown colony in Virginia in 1607.
  • E. Godspeed
    "Godspeed" is a high-energy alternative rock song by American band Anberlin, known for its driving guitars, urgent vocals, and themes of disillusionment and excess.
  • 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: Ironhead
Triple: [Helmet, notableSong, Ironhead]
Generated description
"Ironhead" is a song best known for its association with the band Helmet, showcasing their heavy, riff-driven alternative metal style.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ironhead
Target entity description: "Ironhead" is a song best known for its association with the band Helmet, showcasing their heavy, riff-driven alternative metal style.
  • A. Ironhead
    Ironhead is the nickname of William "Ironhead" Miller, best known as the central character in the 1975 American football comedy film "The Longest Yard."
  • B. Mastodon
    Mastodon is an American progressive/sludge metal band known for its complex compositions, concept albums, and critical acclaim within the modern metal scene.
  • C. Lord Huron
    Lord Huron is an American indie folk band known for its cinematic, atmospheric sound and storytelling-driven songs such as "The Night We Met."
  • D. Godspeed
    Godspeed was one of the three ships that carried English settlers to establish the Jamestown colony in Virginia in 1607.
  • E. Godspeed
    "Godspeed" is a high-energy alternative rock song by American band Anberlin, known for its driving guitars, urgent vocals, and themes of disillusionment and excess.
  • 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_69aed9626ebc8190a39de631788bea3e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02a6b5f48190bdabf988d23f6e97 completed March 9, 2026, 5:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f456bf88190b9b8678476ac3803 completed March 14, 2026, 3:31 p.m.
NEDg Description generation batch_69b57fe89ed0819089d7e56568755b1c completed March 14, 2026, 3:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5805cb7e88190b2f6ed6a18de9319 completed March 14, 2026, 3:35 p.m.
Created at: March 9, 2026, 3:44 p.m.