Triple

T4146592
Position Surface form Disambiguated ID Type / Status
Subject Mr. Robot E89798 entity
Predicate creator P184 FINISHED
Object Sam Esmail E250102 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: Sam Esmail | Statement: [Mr. Robot, creator, Sam Esmail]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sam Esmail
Context triple: [Mr. Robot, creator, Sam Esmail]
  • A. Sam Esmail chosen
    Sam Esmail is an American screenwriter, director, and producer best known as the creator of the television series "Mr. Robot" and for his work on various high-profile film and TV projects.
  • B. Alex Esmail
    Alex Esmail is a British actor best known for his role in the sci-fi comedy film "Attack the Block."
  • C. Dan Goor
    Dan Goor is an American television writer and producer best known for co-creating the comedy series "Brooklyn Nine-Nine" and his work on shows like "Parks and Recreation."
  • D. Jason Katims
    Jason Katims is an American television writer, producer, and showrunner best known for creating character-driven dramas such as "Parenthood" and "Friday Night Lights."
  • E. Damon Lindelof
    Damon Lindelof is an American screenwriter and producer best known as the co-creator of the television series "Lost" and for his work on major science fiction and genre films and shows.
  • 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_69aed95a59a881909b26e70b42c6811a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af025fef088190b42515d0a854a1ae completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576d5379081908300afbb3a6fe5e4 completed March 14, 2026, 2:55 p.m.
Created at: March 9, 2026, 3:43 p.m.