Triple

T4246401
Position Surface form Disambiguated ID Type / Status
Subject Heartland E95537 entity
Predicate leadSingle P15292 FINISHED
Object Lil Bit E361497 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: Lil Bit | Statement: [Heartland, leadSingle, Lil Bit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lil Bit
Context triple: [Heartland, leadSingle, Lil Bit]
  • A. Lil Bit chosen
    "Lil Bit" is a track from Chance the Rapper and Jeremih’s collaborative Christmas-themed project "Merry Christmas Lil Mama."
  • B. Lil Reese
    Lil Reese is an American rapper from Chicago known for his role in the drill music scene and collaborations with artists like Chief Keef and Lil Durk.
  • C. Lil Twist
    Lil Twist is an American rapper from Dallas, Texas, known for his early association with Lil Wayne and appearances on various Young Money projects.
  • D. Lil' Flip
    Lil' Flip is an American rapper from Houston, Texas, known for his early-2000s Southern hip hop hits and freestyle skills.
  • E. Lil
    Lil is a key character in Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," set in a reputation-based future society centered around a Disney World-like theme park.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e9b64ac81908dc44eaae6829b50 completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b77ce4d48190ba24e3ef8c9ceb8d completed March 14, 2026, 7:31 p.m.
Created at: March 12, 2026, 11:05 p.m.