Triple

T3929919
Position Surface form Disambiguated ID Type / Status
Subject Blink-182 E93369 entity
Predicate notableSong P4 FINISHED
Object Dammit
"Dammit" is a fast-paced pop-punk song by Blink-182, widely recognized as one of their breakout hits from the late 1990s.
E399225 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: Dammit | Statement: [Blink-182, notableSong, Dammit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dammit
Context triple: [Blink-182, notableSong, Dammit]
  • A. Cot Damn
    "Cot Damn" is a hard-hitting hip-hop track by Clipse known for its gritty production and sharp, street-centric lyricism.
  • B. Troublemaker
    Troublemaker is a card in the Uno game that typically introduces disruptive or challenging effects to alter normal gameplay.
  • C. DAMN.
    DAMN. is a critically acclaimed 2017 studio album by Kendrick Lamar that blends introspective lyricism with innovative production and won the Pulitzer Prize for Music.
  • D. Rather Die Young
    "Rather Die Young" is a soulful R&B ballad by Beyoncé from her 2011 album "4," expressing a passionate, all-or-nothing kind of love.
  • E. Sucker
    Sucker is a 2015 Australian comedy film about a teenage conman who becomes entangled with a charismatic swindler and his enigmatic daughter.
  • 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: Dammit
Triple: [Blink-182, notableSong, Dammit]
Generated description
"Dammit" is a fast-paced pop-punk song by Blink-182, widely recognized as one of their breakout hits from the late 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dammit
Target entity description: "Dammit" is a fast-paced pop-punk song by Blink-182, widely recognized as one of their breakout hits from the late 1990s.
  • A. Cot Damn
    "Cot Damn" is a hard-hitting hip-hop track by Clipse known for its gritty production and sharp, street-centric lyricism.
  • B. Troublemaker
    Troublemaker is a card in the Uno game that typically introduces disruptive or challenging effects to alter normal gameplay.
  • C. DAMN.
    DAMN. is a critically acclaimed 2017 studio album by Kendrick Lamar that blends introspective lyricism with innovative production and won the Pulitzer Prize for Music.
  • D. Rather Die Young
    "Rather Die Young" is a soulful R&B ballad by Beyoncé from her 2011 album "4," expressing a passionate, all-or-nothing kind of love.
  • E. Sucker
    Sucker is a 2015 Australian comedy film about a teenage conman who becomes entangled with a charismatic swindler and his enigmatic daughter.
  • 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_69aed96bfa1081908f7b30f2c647dee6 completed March 9, 2026, 2:30 p.m.
NER Named-entity recognition batch_69aeeda7cf3c81909df30744bddbad7e completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5288094408190b5fece72ead94ec1 completed March 14, 2026, 9:21 a.m.
NEDg Description generation batch_69b5293b41748190929665970712707a completed March 14, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69b529e9080481908ff0ec30b295cfc3 completed March 14, 2026, 9:27 a.m.
Created at: March 9, 2026, 3:23 p.m.