Triple

T12234189
Position Surface form Disambiguated ID Type / Status
Subject HSAS E291549 entity
Predicate performedSong P11145 FINISHED
Object My Hometown E216572 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: My Hometown | Statement: [HSAS, performedSong, My Hometown]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: My Hometown
Context triple: [HSAS, performedSong, My Hometown]
  • A. My Hometown chosen
    "My Hometown" is a song by Bruce Springsteen that reflects on personal memories, social change, and the decline of a small American town.
  • B. Half of My Hometown
    "Half of My Hometown" is a reflective country song by Kelsea Ballerini, featuring Kenny Chesney, that explores the emotional pull between leaving and staying in one’s small hometown.
  • C. Hometown
    Hometown is an HGTV home renovation series in which hosts transform houses in small-town communities while preserving their historic charm.
  • D. Give Me Back My Hometown
    "Give Me Back My Hometown" is a popular country song by American singer-songwriter Eric Church that reflects on loss, nostalgia, and the emotional ties to one’s roots.
  • E. Home Town
    "Home Town" is a non-fiction book by Pulitzer Prize–winning author Tracy Kidder that closely chronicles the lives and community of residents in a small American city.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca5a06481908c7c6b715b9f6713 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aaf7b348190865a6a1b6de51753 completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.