Triple

T8537051
Position Surface form Disambiguated ID Type / Status
Subject The Blessed Unrest E202103 entity
Predicate includesTrack P3284 FINISHED
Object 1000 Times
"1000 Times" is a song by American singer-songwriter Sara Bareilles from her album "The Blessed Unrest."
E740835 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: 1000 Times | Statement: [The Blessed Unrest, includesTrack, 1000 Times]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 1000 Times
Context triple: [The Blessed Unrest, includesTrack, 1000 Times]
  • A. Ten One Hundred
    Ten One Hundred is a YouTube creator and artist known for his colorful, imaginative illustrations and murals, often featuring whimsical characters and vibrant street-art aesthetics.
  • B. A Billion
    "A Billion" is a song featured on the soundtrack of the musical film "The King & I."
  • C. Music for Millions
    Music for Millions is a 1944 American musical comedy-drama film best known for its heartwarming World War II-era story and ensemble cast, including Phillip Terry.
  • D. 10 Minutes
    "10 Minutes" is a short film directed by Satie Gossett that explores themes of race, justice, and the life-altering impact of a brief encounter with law enforcement.
  • E. One in a Million
    "One in a Million" is Aaliyah's influential 1996 R&B album that helped redefine the genre with its innovative production and smooth, futuristic sound.
  • 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: 1000 Times
Triple: [The Blessed Unrest, includesTrack, 1000 Times]
Generated description
"1000 Times" is a song by American singer-songwriter Sara Bareilles from her album "The Blessed Unrest."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 1000 Times
Target entity description: "1000 Times" is a song by American singer-songwriter Sara Bareilles from her album "The Blessed Unrest."
  • A. Ten One Hundred
    Ten One Hundred is a YouTube creator and artist known for his colorful, imaginative illustrations and murals, often featuring whimsical characters and vibrant street-art aesthetics.
  • B. A Billion
    "A Billion" is a song featured on the soundtrack of the musical film "The King & I."
  • C. Music for Millions
    Music for Millions is a 1944 American musical comedy-drama film best known for its heartwarming World War II-era story and ensemble cast, including Phillip Terry.
  • D. 10 Minutes
    "10 Minutes" is a short film directed by Satie Gossett that explores themes of race, justice, and the life-altering impact of a brief encounter with law enforcement.
  • E. One in a Million
    "One in a Million" is Aaliyah's influential 1996 R&B album that helped redefine the genre with its innovative production and smooth, futuristic sound.
  • 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_69ca832355b08190b8b6a4ab4a4a3554 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe6a3f024819095d560a205ff1c75 completed March 31, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6d8c666881908785079f059f88c8 completed April 2, 2026, 1:22 p.m.
NEDg Description generation batch_69ce6ec2d6608190a7732e999a05d565 completed April 2, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69ce6f7948cc8190b8248e59044cf4fb completed April 2, 2026, 1:30 p.m.
Created at: March 30, 2026, 6:18 p.m.