Triple

T12905914
Position Surface form Disambiguated ID Type / Status
Subject Storm Front E308727 entity
Predicate significantSong P7272 FINISHED
Object And So It Goes E1008572 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: And So It Goes | Statement: [Storm Front, significantSong, And So It Goes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: And So It Goes
Context triple: [Storm Front, significantSong, And So It Goes]
  • A. And So It Goes chosen
    "And So It Goes" is a reflective ballad by Billy Joel, known for its sparse piano arrangement and poignant lyrics about love and vulnerability.
  • B. So It Goes
    So It Goes is a 1970s British television music show best known for showcasing emerging punk and new wave bands, including one of the first TV appearances by the Sex Pistols.
  • C. After the Funeral
    After the Funeral is an Agatha Christie detective novel featuring Hercule Poirot as he investigates a suspicious death following a wealthy patriarch’s funeral.
  • D. Sorry for Your Loss
    "Sorry for Your Loss" is a critically acclaimed drama series that follows a young widow navigating grief and rebuilding her life after the sudden death of her husband.
  • E. A Funeral
    "A Funeral" is a somber interior painting by Danish artist Anna Ancher that reflects her characteristic use of light and color to depict everyday life in Skagen.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971831bd48190b0ecd13e7181bbc6 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af5c133c81908b52fc18262c819d completed May 3, 2026, 2:13 a.m.
Created at: April 9, 2026, 5:41 p.m.