Triple

T5018646
Position Surface form Disambiguated ID Type / Status
Subject Piper Chapman E112795 entity
Predicate relationship P637 FINISHED
Object Alex Vause E128912 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: Alex Vause | Statement: [Piper Chapman, relationship, Alex Vause]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alex Vause
Context triple: [Piper Chapman, relationship, Alex Vause]
  • A. Alex Vause chosen
    Alex Vause is a central character in the television series "Orange Is the New Black," known as a sharp-witted, morally ambiguous drug smuggler and the on-and-off love interest of Piper Chapman.
  • B. Chandler Belfort
    Chandler Belfort is the daughter of former stockbroker and author Jordan Belfort, who is widely known as the "Wolf of Wall Street."
  • C. Alex Convery
    Alex Convery is a screenwriter best known for writing the script for the 2023 sports drama film "Air," which chronicles Nike's pursuit of Michael Jordan.
  • D. Jeremy Spenser
    Jeremy Spenser is a British actor best known for his film and stage work in the 1950s and 1960s, including notable roles in classic British cinema.
  • E. Sam Harper
    Sam Harper is a screenwriter best known for writing family-friendly comedy films such as "Cheaper by the Dozen" and "Freaky Friday."
  • 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_69bd4435c2f48190be593158cbfcf8a3 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73415e088190802f9bb283262386 completed March 20, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c5e06fc8190bdd875c04cefd789 completed March 21, 2026, 1:25 p.m.
Created at: March 20, 2026, 1:35 p.m.