Triple

T16671820
Position Surface form Disambiguated ID Type / Status
Subject Colors E405121 entity
Predicate hasTrack P3284 FINISHED
Object Fix Me
"Fix Me" is a song by the American rock band Colors.
 E1226891 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: Fix Me | Statement: [Colors, hasTrack, Fix Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fix Me
Context triple: [Colors, hasTrack, Fix Me]
  • A. Didn’t Fix Me
    "Didn’t Fix Me" is a song by the American folk-rock band Dawes from their album "Good Luck With Whatever," reflecting the group's introspective, narrative-driven songwriting style.
  • B. I Can Fix Him (No Really I Can)
    "I Can Fix Him (No Really I Can)" is a song by Taylor Swift from her 2024 album *The Tortured Poets Department*.
  • C. Fix It
    "Fix It" is a song by the indie rock band Horn of Plenty.
  • D. The Fix
    The Fix is a critically acclaimed 2002 hip-hop album by American rapper Scarface, noted for its introspective lyrics and soulful, polished production.
  • E. The Fix
    The Fix is a television drama series starring Robin Tunney as a former prosecutor seeking justice and redemption in a high-profile murder case.
  • 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: Fix Me
Triple: [Colors, hasTrack, Fix Me]
Generated description
"Fix Me" is a song by the American rock band Colors.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fix Me
Target entity description: "Fix Me" is a song by the American rock band Colors.
  • A. Didn’t Fix Me
    "Didn’t Fix Me" is a song by the American folk-rock band Dawes from their album "Good Luck With Whatever," reflecting the group's introspective, narrative-driven songwriting style.
  • B. I Can Fix Him (No Really I Can)
    "I Can Fix Him (No Really I Can)" is a song by Taylor Swift from her 2024 album *The Tortured Poets Department*.
  • C. Fix It
    "Fix It" is a song by the indie rock band Horn of Plenty.
  • D. The Fix
    The Fix is a television drama series starring Robin Tunney as a former prosecutor seeking justice and redemption in a high-profile murder case.
  • E. The Fix
    The Fix is a critically acclaimed 2002 hip-hop album by American rapper Scarface, noted for its introspective lyrics and soulful, polished production.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ca175088190a0435422e13278c2 completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3916508190bd5edd91310ddb5a completed May 10, 2026, 1:38 p.m.
NEDg Description generation batch_6a008b001c988190b0ddec3be0ed6fd0 completed May 10, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_6a008b9a8b6481909df37edcecdd292c completed May 10, 2026, 1:43 p.m.
Created at: April 10, 2026, 5:18 a.m.