Triple

T3113856
Position Surface form Disambiguated ID Type / Status
Subject Lea Michele E65010 entity
Predicate releasedAlbum P25507 FINISHED
Object Places E327806 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: Places | Statement: [Lea Michele, releasedAlbum, Places]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Places
Context triple: [Lea Michele, releasedAlbum, Places]
  • A. Places chosen
    Places is Lea Michele's second studio album, showcasing her vocal talent through a collection of theatrical pop ballads and emotional performances.
  • B. Place
    Place is an English surname borne by various notable figures, including the 18th–19th century social reformer Francis Place.
  • C. Places API
    Places API is a Google Maps web service that provides detailed information about geographic locations, including place search, details, photos, and autocomplete functionality for applications.
  • D. Location
    The Location header field is an HTTP response header used to indicate the URL to which a client should be redirected or where a newly created resource can be found.
  • E. SITE Town
    SITE Town is an industrial and residential locality in Karachi, Pakistan, known primarily for housing one of the country’s largest industrial estates.
  • 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_69ad857fcc088190b0c4d45a5cde6f61 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada43dca688190ab041554220c5271 completed March 8, 2026, 4:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69b20f606fc881908754a78e6aa2de64 completed March 12, 2026, 12:57 a.m.
Created at: March 8, 2026, 3:04 p.m.