Triple

T5013519
Position Surface form Disambiguated ID Type / Status
Subject Seth Gabel E112683 entity
Predicate birthName P65 FINISHED
Object Seth Cosentino
Seth Cosentino, better known professionally as Seth Gabel, is an American actor recognized for his roles in television series such as "Fringe" and "Salem."
E487395 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: Seth Cosentino | Statement: [Seth Gabel, birthName, Seth Cosentino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seth Cosentino
Context triple: [Seth Gabel, birthName, Seth Cosentino]
  • A. Seth Meyer
    Seth Meyer is the son of "Twilight" author Stephenie Meyer.
  • B. Seth Numrich
    Seth Numrich is an American actor known for his work on stage and screen, including a prominent role in the historical drama series "Turn: Washington's Spies."
  • C. Seth Reed
    Seth Reed is known as the father of American actress and screenwriter Nikki Reed.
  • D. Luke Ciarrocchi
    Luke Ciarrocchi is a film editor known for his work on the movie "The Visit."
  • E. Jeremy Stoppelman
    Jeremy Stoppelman is an American entrepreneur best known as the co-founder and longtime CEO of Yelp, a popular online review platform for local businesses.
  • 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: Seth Cosentino
Triple: [Seth Gabel, birthName, Seth Cosentino]
Generated description
Seth Cosentino, better known professionally as Seth Gabel, is an American actor recognized for his roles in television series such as "Fringe" and "Salem."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Seth Cosentino
Target entity description: Seth Cosentino, better known professionally as Seth Gabel, is an American actor recognized for his roles in television series such as "Fringe" and "Salem."
  • A. Seth Meyer
    Seth Meyer is the son of "Twilight" author Stephenie Meyer.
  • B. Seth Numrich
    Seth Numrich is an American actor known for his work on stage and screen, including a prominent role in the historical drama series "Turn: Washington's Spies."
  • C. Seth Reed
    Seth Reed is known as the father of American actress and screenwriter Nikki Reed.
  • D. Luke Ciarrocchi
    Luke Ciarrocchi is a film editor known for his work on the movie "The Visit."
  • E. Jeremy Stoppelman
    Jeremy Stoppelman is an American entrepreneur best known as the co-founder and longtime CEO of Yelp, a popular online review platform for local businesses.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7310c5b08190a5c9ab0f9fe9569f completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9271eccc8190bbe9bdb876b41cb8 completed March 21, 2026, 12:43 p.m.
NEDg Description generation batch_69be9653457c819082c4e4436a940f92 completed March 21, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_69be96b861d08190b64145f30b3420b5 completed March 21, 2026, 1:01 p.m.
Created at: March 20, 2026, 1:35 p.m.