Triple

T23632498
Position Surface form Disambiguated ID Type / Status
Subject Tonino Benacquista E583651 entity
Predicate notableFilmAdaptationOfWork P56729 FINISHED
Object The Family (2013 film)
The Family is a 2013 dark comedy crime film directed by Luc Besson, starring Robert De Niro and Michelle Pfeiffer as members of a mob family in witness protection in rural France.
 E1593905 NE FINISHED

How this triple was built (3 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: The Family (2013 film) | Statement: [Tonino Benacquista, notableFilmAdaptationOfWork, The Family (2013 film)]
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: The Family (2013 film)
Triple: [Tonino Benacquista, notableFilmAdaptationOfWork, The Family (2013 film)]
Generated description
The Family is a 2013 dark comedy crime film directed by Luc Besson, starring Robert De Niro and Michelle Pfeiffer as members of a mob family in witness protection in rural France.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: notableFilmAdaptationOfWork
Context triple: [Tonino Benacquista, notableFilmAdaptationOfWork, The Family (2013 film)]
  • A. notableAdaptation
    Indicates that one work is a significant adaptation or reinterpretation of another work.
  • B. notableAdaptationElement
    Indicates that one work is a significant adaptation or reinterpretation of another work.
  • C. notableAdaptationType chosen
    Indicates that one work is a significant adaptation of another work in a specific way or medium (e.g., film adaptation, stage adaptation).
  • D. notableGenreAdaptation
    Indicates that a work is a significant adaptation of another work into a different genre.
  • E. notableAdaptationStudio
    Indicates that a particular studio is especially recognized for creating an adaptation of the subject work or property.
  • F. None of above.

Provenance (6 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_69e248fe1c2c8190ac914d2442ff3d26 completed April 17, 2026, 2:51 p.m.
NER Named-entity recognition batch_69f1b1e90a6881909f19b2446f9d54f0 completed April 29, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0f45a0a0cc819091f3b62af43b44d9 completed May 21, 2026, 5:49 p.m.
NEDg Description generation batch_6a0f46b69d288190b3fb6dcea9fb44b5 completed May 21, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_6a0f479575a48190a63dd376b8fec617 completed May 21, 2026, 5:57 p.m.
PD Predicate disambiguation batch_69f118d0e0588190a86527a7747c5427 completed April 28, 2026, 8:30 p.m.
Created at: April 17, 2026, 6:47 p.m.