Triple

T23031967
Position Surface form Disambiguated ID Type / Status
Subject Ringer E573484 entity
Predicate hasCharacter P2308 FINISHED
Object Gemma Butler
Gemma Butler is a fictional character from the television series "Ringer," involved in the show's web of mystery and deception.
E1568167 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: Gemma Butler | Statement: [Ringer, hasCharacter, Gemma Butler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gemma Butler
Context triple: [Ringer, hasCharacter, Gemma Butler]
  • A. Gemma Craven
    Gemma Craven is an Irish-born actress and singer best known for her work in musical theatre and film, including her acclaimed performances on the West End.
  • B. Gemma Jackson
    Gemma Jackson is a British production designer renowned for her work on major films and television series, including the 2019 live-action adaptation of Disney's "Aladdin."
  • C. Gemma Baker
    Gemma Baker is a television writer and producer best known for co-creating and executive producing the CBS sitcom "Mom."
  • D. Gemma Ward
    Gemma Ward is an Australian fashion model and actress who rose to prominence in the early 2000s as one of the youngest and most influential faces in high-fashion modeling.
  • E. Gemma James
    Gemma James is known as the spouse of Welsh actor Gareth David-Lloyd, recognized for his role in the TV series "Torchwood."
  • 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: Gemma Butler
Triple: [Ringer, hasCharacter, Gemma Butler]
Generated description
Gemma Butler is a fictional character from the television series "Ringer," involved in the show's web of mystery and deception.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gemma Butler
Target entity description: Gemma Butler is a fictional character from the television series "Ringer," involved in the show's web of mystery and deception.
  • A. Gemma Craven
    Gemma Craven is an Irish-born actress and singer best known for her work in musical theatre and film, including her acclaimed performances on the West End.
  • B. Gemma Jackson
    Gemma Jackson is a British production designer renowned for her work on major films and television series, including the 2019 live-action adaptation of Disney's "Aladdin."
  • C. Gemma Baker
    Gemma Baker is a television writer and producer best known for co-creating and executive producing the CBS sitcom "Mom."
  • D. Gemma Ward
    Gemma Ward is an Australian fashion model and actress who rose to prominence in the early 2000s as one of the youngest and most influential faces in high-fashion modeling.
  • E. Gemma James
    Gemma James is known as the spouse of Welsh actor Gareth David-Lloyd, recognized for his role in the TV series "Torchwood."
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f184822a90819081907d72c76770b0 completed April 29, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0ad076e88190b0b507263535baa9 completed May 19, 2026, 7:01 a.m.
NEDg Description generation batch_6a0c0cc0802081909986480d05315422 completed May 19, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0db1ebf88190a3c2f74af6fe3541 completed May 19, 2026, 7:13 a.m.
Created at: April 17, 2026, 3:53 p.m.