Triple

T14166616
Position Surface form Disambiguated ID Type / Status
Subject Grandfathered E351093 entity
Predicate mainCharacter P1183 FINISHED
Object Annelise
Annelise is a central character in the television sitcom "Grandfathered," playing a key role in the show's comedic and relational dynamics.
E1086392 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: Annelise | Statement: [Grandfathered, mainCharacter, Annelise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annelise
Context triple: [Grandfathered, mainCharacter, Annelise]
  • A. Annelise
    Annelise is the given name of Anni Albers, the influential German-born textile artist and printmaker associated with the Bauhaus and later American modernism.
  • B. Elana
    Elana is a Polish football club based in the city of Toruń.
  • C. Alana
    Alana is a feminine given name commonly used in English-speaking countries and various cultures worldwide.
  • D. Annalee
    "Annalee" is a song featured on the album "Something Worth Saving" by American singer-songwriter Gavin DeGraw.
  • E. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • 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: Annelise
Triple: [Grandfathered, mainCharacter, Annelise]
Generated description
Annelise is a central character in the television sitcom "Grandfathered," playing a key role in the show's comedic and relational dynamics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Annelise
Target entity description: Annelise is a central character in the television sitcom "Grandfathered," playing a key role in the show's comedic and relational dynamics.
  • A. Annelise
    Annelise is the given name of Anni Albers, the influential German-born textile artist and printmaker associated with the Bauhaus and later American modernism.
  • B. Elana
    Elana is a Polish football club based in the city of Toruń.
  • C. Alana
    Alana is a feminine given name commonly used in English-speaking countries and various cultures worldwide.
  • D. Annalee
    "Annalee" is a song featured on the album "Something Worth Saving" by American singer-songwriter Gavin DeGraw.
  • E. Tessa
    Tessa is a feminine given name commonly used in English-speaking countries, often as a diminutive of Theresa or Therese.
  • 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b355f08190864c7322bbcb766d completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd193dbbcc819082043d92c174164c completed May 7, 2026, 10:59 p.m.
NEDg Description generation batch_69fd1d57dfa88190a4cd9b6fceddbc3b completed May 7, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_69fd1e267dcc819087a24cbfea2736db completed May 7, 2026, 11:20 p.m.
Created at: April 10, 2026, 1 a.m.