Triple

T10040253
Position Surface form Disambiguated ID Type / Status
Subject Get Hurt E205275 entity
Predicate hasPart P35 FINISHED
Object “Dark Places”
“Dark Places” is a song by the American rock band The Gaslight Anthem from their album *Get Hurt*.
E836849 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: “Dark Places” | Statement: [Get Hurt, hasPart, “Dark Places”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Dark Places”
Context triple: [Get Hurt, hasPart, “Dark Places”]
  • A. My Dark Places
    My Dark Places is a memoir by crime writer James Ellroy in which he investigates his mother's unsolved murder while exploring his own troubled past.
  • B. After the Dark
    After the Dark is a 2013 philosophical science-fiction thriller film that explores moral dilemmas through a series of apocalyptic thought experiments conducted by a high school philosophy class.
  • C. “The Saving Place”
    “The Saving Place” is a marketing slogan used by Kmart to emphasize its focus on low prices and value for shoppers.
  • D. The Dark at the End
    The Dark at the End is a horror-thriller novel by F. Paul Wilson that serves as a climactic installment in his long-running Repairman Jack/Adversary Cycle series.
  • E. Conversations in the Dark
    "Conversations in the Dark" is a romantic R&B ballad by John Legend, known for its intimate lyrics and soulful vocals.
  • 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: “Dark Places”
Triple: [Get Hurt, hasPart, “Dark Places”]
Generated description
“Dark Places” is a song by the American rock band The Gaslight Anthem from their album *Get Hurt*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: “Dark Places”
Target entity description: “Dark Places” is a song by the American rock band The Gaslight Anthem from their album *Get Hurt*.
  • A. My Dark Places
    My Dark Places is a memoir by crime writer James Ellroy in which he investigates his mother's unsolved murder while exploring his own troubled past.
  • B. After the Dark
    After the Dark is a 2013 philosophical science-fiction thriller film that explores moral dilemmas through a series of apocalyptic thought experiments conducted by a high school philosophy class.
  • C. “The Saving Place”
    “The Saving Place” is a marketing slogan used by Kmart to emphasize its focus on low prices and value for shoppers.
  • D. The Dark at the End
    The Dark at the End is a horror-thriller novel by F. Paul Wilson that serves as a climactic installment in his long-running Repairman Jack/Adversary Cycle series.
  • E. Conversations in the Dark
    "Conversations in the Dark" is a romantic R&B ballad by John Legend, known for its intimate lyrics and soulful vocals.
  • 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_69ca834f70e88190b2d74828b7767ec1 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcee2e6d881908cfa0579f9be32e4 completed April 2, 2026, 2:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2827064108190b9079717a4eb98d6 completed April 5, 2026, 3:40 p.m.
NEDg Description generation batch_69d2834f6d488190812f91a5b4971c1e completed April 5, 2026, 3:44 p.m.
NED2 Entity disambiguation (via description) batch_69d28432d900819091ff0d324a6bb28a completed April 5, 2026, 3:48 p.m.
Created at: March 30, 2026, 8:55 p.m.