Triple

T10049607
Position Surface form Disambiguated ID Type / Status
Subject The Parkers E207711 entity
Predicate character P662 FINISHED
Object T
T is a supporting character from the American sitcom "The Parkers," which follows the comedic lives of a mother-daughter duo attending college together.
 E838079 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: T | Statement: [The Parkers, character, T]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: T
Context triple: [The Parkers, character, T]
  • A. T
    T is the vehicle registration code used for motor vehicles registered in Troms county in Norway.
  • B. T
    T is the New York Stock Exchange ticker symbol for AT&T Inc., a major American telecommunications and media company.
  • C. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • D. Te
    Te is the Taoist concept of inner virtue or inherent power that arises from living in harmony with the Tao.
  • E. T.
    T. is the middle initial of U.S. Air Force General Robert T. Herres, used as part of his full name.
  • 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: T
Triple: [The Parkers, character, T]
Generated description
T is a supporting character from the American sitcom "The Parkers," which follows the comedic lives of a mother-daughter duo attending college together.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: T
Target entity description: T is a supporting character from the American sitcom "The Parkers," which follows the comedic lives of a mother-daughter duo attending college together.
  • A. T
    T is the vehicle registration code used for motor vehicles registered in Troms county in Norway.
  • B. T
    T is the New York Stock Exchange ticker symbol for AT&T Inc., a major American telecommunications and media company.
  • C. the T
    The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
  • D. Te
    Te is the Taoist concept of inner virtue or inherent power that arises from living in harmony with the Tao.
  • E. T.
    T. is the middle initial of U.S. Air Force General Robert T. Herres, used as part of his full name.
  • 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_69ca835ad0608190b7c80b292da004f5 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdcf8e41c4819091fa12742197e207 completed April 2, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2829674f08190b5f9c3b984106469 completed April 5, 2026, 3:41 p.m.
NEDg Description generation batch_69d2868c5c88819080d73e50fabc2bb7 completed April 5, 2026, 3:58 p.m.
NED2 Entity disambiguation (via description) batch_69d286fdd2c88190b0ce5070c7875dcc completed April 5, 2026, 3:59 p.m.
Created at: March 30, 2026, 8:56 p.m.