Triple

T12530607
Position Surface form Disambiguated ID Type / Status
Subject L'Appartement E299552 entity
Predicate remadeAs P21944 FINISHED
Object Wicker Park E54009 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: Wicker Park | Statement: [L'Appartement, remadeAs, Wicker Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wicker Park
Context triple: [L'Appartement, remadeAs, Wicker Park]
  • A. Wicker Park chosen
    Wicker Park is a 2004 romantic psychological thriller film starring Josh Hartnett, known for its intricate plot about obsession, mistaken identity, and lost love.
  • B. Wicker Park
    Wicker Park is a trendy Chicago neighborhood known for its vibrant arts scene, nightlife, and eclectic mix of boutiques, restaurants, and music venues.
  • C. Logan Square
    Logan Square is a notable public square and local landmark situated in the Hyde Park neighborhood of Boston, Massachusetts.
  • D. Logan Square
    Logan Square is a vibrant Chicago neighborhood known for its historic boulevards, diverse dining and nightlife, and a mix of classic greystone buildings and newer developments.
  • E. West Loop
    West Loop is a trendy Chicago neighborhood known for its transformed industrial warehouses, vibrant dining scene, and proximity to the Fulton Market District.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95469d100819087c83bc55e3ec9ce completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5b5c138819098326891f86eab48 completed May 3, 2026, 7:13 a.m.
Created at: April 8, 2026, 9:57 p.m.