Triple

T8336097
Position Surface form Disambiguated ID Type / Status
Subject Indira Varma E195788 entity
Predicate role P268 FINISHED
Object Pippa in Human Target
Pippa in *Human Target* is a character portrayed by Indira Varma in the action-drama television series based on the DC Comics property.
 E724896 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: Pippa in Human Target | Statement: [Indira Varma, role, Pippa in Human Target]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pippa in Human Target
Context triple: [Indira Varma, role, Pippa in Human Target]
  • A. Natasha Caine
    Natasha Caine is a British personality best known as the daughter of acclaimed actor Sir Michael Caine.
  • B. Maggie Shaw
    Maggie Shaw is a fictional character played by Irish actress Dominique McElligott, known from the science fiction series "The Astronaut Wives Club."
  • C. Jessica Poole
    Jessica Poole is a central female character in the romantic comedy film "The Pleasure of His Company," involved in the story’s family and relationship dynamics.
  • D. Chelsea Finn
    Chelsea Finn is a prominent computer scientist and roboticist known for her influential research in meta-learning, reinforcement learning, and generalizable robot learning.
  • E. Mala Powers
    Mala Powers was an American film and television actress best known for her roles in 1950s Hollywood dramas and comedies.
  • 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: Pippa in Human Target
Triple: [Indira Varma, role, Pippa in Human Target]
Generated description
Pippa in *Human Target* is a character portrayed by Indira Varma in the action-drama television series based on the DC Comics property.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pippa in Human Target
Target entity description: Pippa in *Human Target* is a character portrayed by Indira Varma in the action-drama television series based on the DC Comics property.
  • A. Natasha Caine
    Natasha Caine is a British personality best known as the daughter of acclaimed actor Sir Michael Caine.
  • B. Maggie Shaw
    Maggie Shaw is a fictional character played by Irish actress Dominique McElligott, known from the science fiction series "The Astronaut Wives Club."
  • C. Jessica Poole
    Jessica Poole is a central female character in the romantic comedy film "The Pleasure of His Company," involved in the story’s family and relationship dynamics.
  • D. Chelsea Finn
    Chelsea Finn is a prominent computer scientist and roboticist known for her influential research in meta-learning, reinforcement learning, and generalizable robot learning.
  • E. Mala Powers
    Mala Powers was an American film and television actress best known for her roles in 1950s Hollywood dramas and comedies.
  • 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_69ca82ecbdc481908a55cad8ca062d88 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7fd3fc80819097b326119107ad4d completed March 31, 2026, 8:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95d9b92c8190b1eb0e64aa7ea59e completed April 1, 2026, 10:02 p.m.
NEDg Description generation batch_69cda342c10881908ebafc7853815424 completed April 1, 2026, 10:59 p.m.
NED2 Entity disambiguation (via description) batch_69cdab736f208190a90bd4344b21a22c completed April 1, 2026, 11:34 p.m.
Created at: March 30, 2026, 5:57 p.m.