Triple

T10919488
Position Surface form Disambiguated ID Type / Status
Subject Vince Vaughn E257907 entity
Predicate notableWork P4 FINISHED
Object The Break-Up E367151 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: The Break-Up | Statement: [Vince Vaughn, notableWork, The Break-Up]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Break-Up
Context triple: [Vince Vaughn, notableWork, The Break-Up]
  • A. The Break-Up chosen
    The Break-Up is a 2006 romantic comedy-drama film starring Jennifer Aniston and Vince Vaughn as a couple navigating a messy split while still sharing their condo.
  • B. Break Up
    "Break Up" is a song by American R&B singer Mario, best known for its smooth production and themes of romantic conflict and separation.
  • C. Break Up
    "Break Up" is a collaborative studio album by Scarlett Johansson and Pete Yorn that blends indie pop and folk influences in a concept inspired by Serge Gainsbourg and Brigitte Bardot’s duets.
  • D. Break Up to Make Up
    "Break Up to Make Up" is a classic soul ballad, best known as a hit song by The Stylistics co-written by Linda Creed.
  • E. The Break
    "The Break" is a film featuring Australian actress Diane Cilento, known for her acclaimed performances in mid-20th-century cinema.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d77081a0c48190b7aa4a482032d1ea completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2171adbbc8190916a5463b6e5c186 completed April 17, 2026, 11:18 a.m.
Created at: April 8, 2026, 9:22 p.m.