Triple

T18805922
Position Surface form Disambiguated ID Type / Status
Subject Anna Konkle E459872 entity
Predicate appearedIn P795 FINISHED
Object Betas
Betas is a comedy television series centered on a group of friends trying to launch a social networking startup in Silicon Valley.
E1344406 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: Betas | Statement: [Anna Konkle, appearedIn, Betas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Betas
Context triple: [Anna Konkle, appearedIn, Betas]
  • A. Alphas
    Alphas is a common nickname for Alpha Phi Alpha, the first intercollegiate historically African American Greek-letter fraternity in the United States.
  • B. Alphas
    Alphas is a science fiction television series about a team of people with extraordinary neurological abilities who work together to investigate crimes and threats involving others like themselves.
  • C. B’s
    B’s is a common nickname for the Boston Bruins, the historic NHL franchise based in Boston.
  • D. Beketaten
    Beketaten was an ancient Egyptian princess of the 18th Dynasty, likely a daughter of Pharaoh Amenhotep III and Queen Tiye, who lived during the Amarna period.
  • E. Epsilons
    Epsilons was a California garage rock and punk band known for its raw, lo-fi sound and for featuring Ty Segall early in his career.
  • 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: Betas
Triple: [Anna Konkle, appearedIn, Betas]
Generated description
Betas is a comedy television series centered on a group of friends trying to launch a social networking startup in Silicon Valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Betas
Target entity description: Betas is a comedy television series centered on a group of friends trying to launch a social networking startup in Silicon Valley.
  • A. Alphas
    Alphas is a common nickname for Alpha Phi Alpha, the first intercollegiate historically African American Greek-letter fraternity in the United States.
  • B. Alphas
    Alphas is a science fiction television series about a team of people with extraordinary neurological abilities who work together to investigate crimes and threats involving others like themselves.
  • C. B’s
    B’s is a common nickname for the Boston Bruins, the historic NHL franchise based in Boston.
  • D. Beketaten
    Beketaten was an ancient Egyptian princess of the 18th Dynasty, likely a daughter of Pharaoh Amenhotep III and Queen Tiye, who lived during the Amarna period.
  • E. Epsilons
    Epsilons was a California garage rock and punk band known for its raw, lo-fi sound and for featuring Ty Segall early in his career.
  • 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a3d6d5e081909d8285e52cb753ba completed April 20, 2026, 3:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a055bbec00c8190962dddaf08bb1c5d completed May 14, 2026, 5:21 a.m.
NEDg Description generation batch_6a055f9b560c81909fcc83ffb8fc7498 completed May 14, 2026, 5:37 a.m.
NED2 Entity disambiguation (via description) batch_6a05605e78088190ae2fc8189007d6dc completed May 14, 2026, 5:40 a.m.
Created at: April 10, 2026, 11:53 a.m.