Triple

T12426994
Position Surface form Disambiguated ID Type / Status
Subject Noah Emmerich E296923 entity
Predicate notableRole P22 FINISHED
Object Stan Beeman
Stan Beeman is a troubled but dedicated FBI counterintelligence agent and neighbor to the Jennings family in the television series "The Americans."
 E987696 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: Stan Beeman | Statement: [Noah Emmerich, notableRole, Stan Beeman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stan Beeman
Context triple: [Noah Emmerich, notableRole, Stan Beeman]
  • A. John Beeman
    John Beeman was an early Texas settler associated with the pioneering families connected to John Neely Bryan, the founder of Dallas.
  • B. Greg Beeman
    Greg Beeman is an American television director and producer known for his work on genre series such as "Falling Skies," "Heroes," and "Smallville."
  • C. Dan Beeman
    Dan Beeman is a member of the band Helmet, contributing to the influential American alternative metal group's lineup.
  • D. Guy Busick
    Guy Busick is an American screenwriter best known for co-writing recent entries in the Scream horror film franchise and the darkly comedic thriller Ready or Not.
  • E. Michael Neeleman
    Michael Neeleman is a notable individual recognized as a bearer of the Neeleman surname, likely distinguished in a professional or public context.
  • 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: Stan Beeman
Triple: [Noah Emmerich, notableRole, Stan Beeman]
Generated description
Stan Beeman is a troubled but dedicated FBI counterintelligence agent and neighbor to the Jennings family in the television series "The Americans."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stan Beeman
Target entity description: Stan Beeman is a troubled but dedicated FBI counterintelligence agent and neighbor to the Jennings family in the television series "The Americans."
  • A. John Beeman
    John Beeman was an early Texas settler associated with the pioneering families connected to John Neely Bryan, the founder of Dallas.
  • B. Greg Beeman
    Greg Beeman is an American television director and producer known for his work on genre series such as "Falling Skies," "Heroes," and "Smallville."
  • C. Dan Beeman
    Dan Beeman is a member of the band Helmet, contributing to the influential American alternative metal group's lineup.
  • D. Guy Busick
    Guy Busick is an American screenwriter best known for co-writing recent entries in the Scream horror film franchise and the darkly comedic thriller Ready or Not.
  • E. Michael Neeleman
    Michael Neeleman is a notable individual recognized as a bearer of the Neeleman surname, likely distinguished in a professional or public context.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d7ccda08190be2ff1739c1c6855 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b9aaf9c819098e8f8ba40c73363 completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64d15a97c81909046190f0d0fd986 completed May 2, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f64e6d311c8190b851b89e394165d0 completed May 2, 2026, 7:20 p.m.
Created at: April 8, 2026, 9:55 p.m.