Triple

T18507983
Position Surface form Disambiguated ID Type / Status
Subject Shameless Hall of Shame E452248 entity
Predicate executiveProducer P7225 FINISHED
Object Etan Frankel
Etan Frankel is a television writer and producer known for his work on series such as Shameless and other acclaimed TV dramas.
 E1329395 NE FINISHED

How this triple was built (4 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: Etan Frankel | Statement: [Shameless Hall of Shame, executiveProducer, Etan Frankel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Etan Frankel
Context triple: [Shameless Hall of Shame, executiveProducer, Etan Frankel]
  • A. Eli Frankel
    Eli Frankel is a television producer best known for creating the reality makeover series "Revenge Body with Khloé Kardashian."
  • B. Etan Cohen
    Etan Cohen is an American screenwriter and director best known for co-writing hit comedy films such as Tropic Thunder and Men in Black 3.
  • C. Benjamin Frankel
    Benjamin Frankel was a 20th-century British composer best known for his film scores and contributions to modern classical music.
  • D. Uriel Frisch
    Uriel Frisch is a French physicist and mathematician renowned for his contributions to fluid dynamics and turbulence theory.
  • E. Asher Goldstein
    Asher Goldstein is a film producer known for socially conscious dramas, including the acclaimed legal drama "Just Mercy."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Etan Frankel
Triple: [Shameless Hall of Shame, executiveProducer, Etan Frankel]
Generated description
Etan Frankel is a television writer and producer known for his work on series such as Shameless and other acclaimed TV dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Etan Frankel
Target entity description: Etan Frankel is a television writer and producer known for his work on series such as Shameless and other acclaimed TV dramas.
  • A. Eli Frankel
    Eli Frankel is a television producer best known for creating the reality makeover series "Revenge Body with Khloé Kardashian."
  • B. Etan Cohen
    Etan Cohen is an American screenwriter and director best known for co-writing hit comedy films such as Tropic Thunder and Men in Black 3.
  • C. Benjamin Frankel
    Benjamin Frankel was a 20th-century British composer best known for his film scores and contributions to modern classical music.
  • D. Uriel Frisch
    Uriel Frisch is a French physicist and mathematician renowned for his contributions to fluid dynamics and turbulence theory.
  • E. Asher Goldstein
    Asher Goldstein is a film producer known for socially conscious dramas, including the acclaimed legal drama "Just Mercy."
  • F. None of above. chosen

Provenance (5 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53344033c8190a0883aef56ba79c3 completed April 19, 2026, 7:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a049168fcc081909014082413989708 completed May 13, 2026, 2:57 p.m.
NEDg Description generation batch_6a049341170c8190bc5926cdda2bd24b completed May 13, 2026, 3:05 p.m.
NED2 Entity disambiguation (via description) batch_6a0493aa28f48190a6d0ba15db156be2 completed May 13, 2026, 3:07 p.m.
Created at: April 10, 2026, 11:36 a.m.