Triple

T11319375
Position Surface form Disambiguated ID Type / Status
Subject Meg Tilly E268050 entity
Predicate authorOf P4244 FINISHED
Object Gemma
Gemma is a novel by Meg Tilly, known for its dark, psychologically intense exploration of trauma and survival.
 E919758 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 | Statement: [Meg Tilly, authorOf, Gemma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gemma
Context triple: [Meg Tilly, authorOf, Gemma]
  • A. Gemma
    Gemma is a feminine given name of Italian origin, historically associated with figures such as Gemma Donati, the wife of poet Dante Alighieri.
  • B. Gemma Jones
    Gemma Jones is an English actress known for her work in film, television, and theatre, including prominent roles in period dramas and popular franchises like the Bridget Jones series and the Harry Potter films.
  • C. Gemma Flynn
    Gemma Flynn is a New Zealand former international field hockey player who represented the Black Sticks at multiple Olympic Games.
  • D. Gemma James
    Gemma James is known as the spouse of Welsh actor Gareth David-Lloyd, recognized for his role in the TV series "Torchwood."
  • E. 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."
  • 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
Triple: [Meg Tilly, authorOf, Gemma]
Generated description
Gemma is a novel by Meg Tilly, known for its dark, psychologically intense exploration of trauma and survival.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gemma
Target entity description: Gemma is a novel by Meg Tilly, known for its dark, psychologically intense exploration of trauma and survival.
  • A. Gemma
    Gemma is a feminine given name of Italian origin, historically associated with figures such as Gemma Donati, the wife of poet Dante Alighieri.
  • B. Gemma Jones
    Gemma Jones is an English actress known for her work in film, television, and theatre, including prominent roles in period dramas and popular franchises like the Bridget Jones series and the Harry Potter films.
  • C. Gemma Flynn
    Gemma Flynn is a New Zealand former international field hockey player who represented the Black Sticks at multiple Olympic Games.
  • D. Gemma James
    Gemma James is known as the spouse of Welsh actor Gareth David-Lloyd, recognized for his role in the TV series "Torchwood."
  • E. 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."
  • 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_69d6aaca5c24819083db46a30d86cb34 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9de875481908acfa56015d4b46f completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543055b588190a417b3d50ade989a completed April 19, 2026, 9:03 p.m.
NEDg Description generation batch_69e5474879088190990468d960b26739 completed April 19, 2026, 9:21 p.m.
NED2 Entity disambiguation (via description) batch_69e54eccdd3881908536ee3f9f4ef516 completed April 19, 2026, 9:53 p.m.
Created at: April 8, 2026, 9:32 p.m.