Triple

T10890863
Position Surface form Disambiguated ID Type / Status
Subject Kate Berlant E257168 entity
Predicate performedIn P795 FINISHED
Object The Characters E892230 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 Characters | Statement: [Kate Berlant, performedIn, The Characters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Characters
Context triple: [Kate Berlant, performedIn, The Characters]
  • A. The Characters chosen
    The Characters is a Netflix sketch comedy series featuring different comedians each episode, including Kate Berlant, who create and star in their own original characters and sketches.
  • B. Characters
    Characters is an ancient Greek work of brief, satirical character sketches traditionally attributed to Theophrastus, depicting various moral types and social behaviors.
  • C. Henhenet
    Henhenet was an ancient Egyptian queen of the 11th Dynasty, known as one of the wives of Pharaoh Mentuhotep II and buried in his royal necropolis at Deir el-Bahri.
  • D. The Literary Character
    The Literary Character is an early 19th-century work of literary criticism and reflection that explores the lives, habits, and social conditions of authors and men of letters.
  • E. Personae
    Personae is a collection of Ezra Pound’s early poems that showcases his development of modernist style and imagist technique.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7520550c4819081296546c8f534f1 completed April 9, 2026, 7:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2169ea02c8190addf125ec5adafe8 completed April 17, 2026, 11:16 a.m.
Created at: April 8, 2026, 9:21 p.m.