Triple

T2804011
Position Surface form Disambiguated ID Type / Status
Subject Wicker Park E54009 entity
Predicate basedOn P98 FINISHED
Object L'Appartement
L'Appartement is a 1996 French romantic thriller film that inspired the later American remake set in Wicker Park.
 E299547 NE FINISHED

How this triple was built (4 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: L'Appartement | Statement: [Wicker Park, basedOn, L'Appartement]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: L'Appartement
Context triple: [Wicker Park, basedOn, L'Appartement]
  • A. Les Raboteurs de parquet
    Les Raboteurs de parquet is a realist 1875 painting by French artist Gustave Caillebotte depicting three workers scraping a wooden floor in a Parisian apartment.
  • B. Le Jour
    Le Jour is the original French title of the 1987 American drama film "The Day," directed by Peter Markle.
  • C. La femme qui pleure
    La femme qui pleure is a famous series of Cubist paintings by Pablo Picasso depicting a distraught, crying woman as a symbol of anguish and suffering.
  • D. Belle de Jour
    Belle de Jour is a 1967 French drama film directed by Luis Buñuel, renowned for its surreal exploration of a bourgeois housewife who secretly works as a high-class prostitute.
  • E. Elle
    Elle is a globally recognized fashion and lifestyle magazine known for its coverage of style, beauty, culture, and celebrity features.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: L'Appartement
Triple: [Wicker Park, basedOn, L'Appartement]
Generated description
L'Appartement is a 1996 French romantic thriller film that inspired the later American remake set in Wicker Park.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: L'Appartement
Target entity description: L'Appartement is a 1996 French romantic thriller film that inspired the later American remake set in Wicker Park.
  • A. Les Raboteurs de parquet
    Les Raboteurs de parquet is a realist 1875 painting by French artist Gustave Caillebotte depicting three workers scraping a wooden floor in a Parisian apartment.
  • B. Le Jour
    Le Jour is the original French title of the 1987 American drama film "The Day," directed by Peter Markle.
  • C. La femme qui pleure
    La femme qui pleure is a famous series of Cubist paintings by Pablo Picasso depicting a distraught, crying woman as a symbol of anguish and suffering.
  • D. Belle de Jour
    Belle de Jour is a 1967 French drama film directed by Luis Buñuel, renowned for its surreal exploration of a bourgeois housewife who secretly works as a high-class prostitute.
  • E. Elle
    Elle is a globally recognized fashion and lifestyle magazine known for its coverage of style, beauty, culture, and celebrity features.
  • F. None of above. chosen

Provenance (5 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde1409148190a06a401185a26b64 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc674217c81908177b088cc824e7b completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc863133c8190b129a55f8d28966f completed March 10, 2026, 7:29 a.m.
NED2 Entity disambiguation (via description) batch_69afc8d43e608190b33159a464dc2e8c completed March 10, 2026, 7:31 a.m.
Created at: March 6, 2026, 9:59 p.m.