Triple

T9059666
Position Surface form Disambiguated ID Type / Status
Subject Reflektor E217088 entity
Predicate hasPart P35 FINISHED
Object Flashbulb Eyes
"Flashbulb Eyes" is a song by the Canadian indie rock band Arcade Fire, featured on their 2013 album *Reflektor*.
 E774871 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: Flashbulb Eyes | Statement: [Reflektor, hasPart, Flashbulb Eyes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Flashbulb Eyes
Context triple: [Reflektor, hasPart, Flashbulb Eyes]
  • A. Blink
    "Blink" is a widely acclaimed, time-bending episode of the British science fiction series Doctor Who, renowned for introducing the terrifying Weeping Angels and its minimal use of the Doctor.
  • B. Blink
    Blink is the abbreviated name commonly used for Blink-182, the American rock band known for its catchy pop-punk songs and irreverent humor.
  • C. Blink
    Blink is an open-source web browser engine developed primarily by Google and used in several major browsers to render web pages.
  • D. Blink
    Blink is a bestselling nonfiction book by Malcolm Gladwell that explores the power and pitfalls of rapid, intuitive decision-making.
  • E. Eyes of Youth
    Eyes of Youth is a 1919 American silent drama film, best known today for featuring one of Rudolph Valentino’s early significant screen roles.
  • 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: Flashbulb Eyes
Triple: [Reflektor, hasPart, Flashbulb Eyes]
Generated description
"Flashbulb Eyes" is a song by the Canadian indie rock band Arcade Fire, featured on their 2013 album *Reflektor*.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Flashbulb Eyes
Target entity description: "Flashbulb Eyes" is a song by the Canadian indie rock band Arcade Fire, featured on their 2013 album *Reflektor*.
  • A. Blink
    "Blink" is a widely acclaimed, time-bending episode of the British science fiction series Doctor Who, renowned for introducing the terrifying Weeping Angels and its minimal use of the Doctor.
  • B. Blink
    Blink is the abbreviated name commonly used for Blink-182, the American rock band known for its catchy pop-punk songs and irreverent humor.
  • C. Blink
    Blink is an open-source web browser engine developed primarily by Google and used in several major browsers to render web pages.
  • D. Blink
    Blink is a bestselling nonfiction book by Malcolm Gladwell that explores the power and pitfalls of rapid, intuitive decision-making.
  • E. Eyes of Youth
    Eyes of Youth is a 1919 American silent drama film, best known today for featuring one of Rudolph Valentino’s early significant screen roles.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7eca6d8c8190b1a11a60d6649f78 completed April 1, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebeceab88190b1f4bc0bc6a4c389 completed April 3, 2026, 4:33 p.m.
NEDg Description generation batch_69cfed5cce7481908f1d2aec827bee3a completed April 3, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_69cfee51f2348190825080046650836b completed April 3, 2026, 4:44 p.m.
Created at: March 30, 2026, 7:10 p.m.