Triple

T9799746
Position Surface form Disambiguated ID Type / Status
Subject Kasey Chambers E237804 entity
Predicate notableWork P4 FINISHED
Object If I Were You
"If I Were You" is a song by Australian country singer-songwriter Kasey Chambers, known for its heartfelt lyrics and roots-influenced sound.
E821249 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: If I Were You | Statement: [Kasey Chambers, notableWork, If I Were You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: If I Were You
Context triple: [Kasey Chambers, notableWork, If I Were You]
  • A. If I Were You
    "If I Were You" is a song by the 1960s folk-rock band the Stone Poneys, best known as an early showcase for Linda Ronstadt’s vocals.
  • B. If I Was
    "If I Was" is a 1985 synth-pop song by Scottish musician Midge Ure that became one of his best-known solo hits, reaching number one on the UK Singles Chart.
  • C. If I Were a Boy
    "If I Were a Boy" is a pop-R&B ballad best known as a hit single by Beyoncé that explores themes of gender roles, empathy, and relationship dynamics.
  • D. I'm Not You
    "I'm Not You" is a track from Clipse's debut album "Lord Willin'," showcasing the duo's gritty lyricism over Neptunes-produced beats.
  • E. She Wasn’t You
    "She Wasn’t You" is a romantic ballad from the Burton Lane–Alan Jay Lerner stage musical *On a Clear Day You Can See Forever*.
  • 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: If I Were You
Triple: [Kasey Chambers, notableWork, If I Were You]
Generated description
"If I Were You" is a song by Australian country singer-songwriter Kasey Chambers, known for its heartfelt lyrics and roots-influenced sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: If I Were You
Target entity description: "If I Were You" is a song by Australian country singer-songwriter Kasey Chambers, known for its heartfelt lyrics and roots-influenced sound.
  • A. If I Were You
    "If I Were You" is a song by the 1960s folk-rock band the Stone Poneys, best known as an early showcase for Linda Ronstadt’s vocals.
  • B. If I Was
    "If I Was" is a 1985 synth-pop song by Scottish musician Midge Ure that became one of his best-known solo hits, reaching number one on the UK Singles Chart.
  • C. If I Were a Boy
    "If I Were a Boy" is a pop-R&B ballad best known as a hit single by Beyoncé that explores themes of gender roles, empathy, and relationship dynamics.
  • D. I'm Not You
    "I'm Not You" is a track from Clipse's debut album "Lord Willin'," showcasing the duo's gritty lyricism over Neptunes-produced beats.
  • E. She Wasn’t You
    "She Wasn’t You" is a romantic ballad from the Burton Lane–Alan Jay Lerner stage musical *On a Clear Day You Can See Forever*.
  • 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_69ca84dd4608819097ff4ed00feca280 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda628fe0081909d2fbac3bd56ee84 completed April 1, 2026, 11:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c445c81481908700ffde5dd28936 completed April 5, 2026, 2:09 a.m.
NEDg Description generation batch_69d1c4c37e248190a1b10cf6d0056c02 completed April 5, 2026, 2:11 a.m.
NED2 Entity disambiguation (via description) batch_69d1c56957f8819080eca0a71c24f86a completed April 5, 2026, 2:14 a.m.
Created at: March 30, 2026, 8:28 p.m.