Triple

T16641257
Position Surface form Disambiguated ID Type / Status
Subject It's Not Me, It's You E404341 entity
Predicate hasSingle P3282 FINISHED
Object Not Fair E404338 NE FINISHED

How this triple was built (2 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: Not Fair | Statement: [It's Not Me, It's You, hasSingle, Not Fair]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Not Fair
Context triple: [It's Not Me, It's You, hasSingle, Not Fair]
  • A. Not Fair chosen
    "Not Fair" is a 2009 pop song by English singer-songwriter Lily Allen, known for its country-influenced sound and humorous lyrics about sexual dissatisfaction in a relationship.
  • B. Unfair
    "Unfair" is a song by the American indie rock band Pavement from their acclaimed 1994 album *Crooked Rain, Crooked Rain*.
  • C. Not Nice
    "Not Nice" is a dancehall-influenced R&B single by Canadian artist PartyNextDoor from his 2016 album "PartyNextDoor 3."
  • D. Not Okay
    Not Okay is a 2022 dark comedy-drama film that satirizes online influencer culture and cancel culture through the story of a young woman who fakes a trip to Paris to gain social media fame.
  • E. Unjust Rewards
    Unjust Rewards is a non-fiction book by British journalist Polly Toynbee that critiques economic inequality and the moral justifications of wealth in modern society.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ad1a7748190aa9308d4e96c566c completed April 18, 2026, 12:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00918c998c81909b98d4fa9a8dbe3d completed May 10, 2026, 2:09 p.m.
Created at: April 10, 2026, 5:18 a.m.