Triple

T10890856
Position Surface form Disambiguated ID Type / Status
Subject Kate Berlant E257168 entity
Predicate hasCollaborator P10645 FINISHED
Object Bo Burnham E864795 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: Bo Burnham | Statement: [Kate Berlant, hasCollaborator, Bo Burnham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bo Burnham
Context triple: [Kate Berlant, hasCollaborator, Bo Burnham]
  • A. Bo Burnham chosen
    Bo Burnham is an American comedian, writer, musician, and filmmaker known for his innovative stand-up specials and the critically acclaimed film "Eighth Grade."
  • B. Kyle Mooney
    Kyle Mooney is an American comedian, actor, and writer best known as a former Saturday Night Live cast member and for his offbeat, awkwardly humorous characters and sketches.
  • C. Bill Hader
    Bill Hader is an American actor, comedian, writer, and director best known for his work on Saturday Night Live and for creating and starring in the dark comedy series Barry.
  • D. B. J. Novak
    B. J. Novak is an American actor, writer, comedian, and director best known for his work on the U.S. version of "The Office."
  • E. Hannibal Buress
    Hannibal Buress is an American stand-up comedian, actor, writer, and producer known for his laid-back delivery, sharp observational humor, and roles in shows like "Broad City" and films such as "Spider-Man: Homecoming."
  • 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_69e15500bb7881908b9799d7653aec72 completed April 16, 2026, 9:30 p.m.
Created at: April 8, 2026, 9:21 p.m.