Triple

T1779011
Position Surface form Disambiguated ID Type / Status
Subject Tessa Thompson E39245 entity
Predicate portrayed P1668 FINISHED
Object Sylvie Parker
Sylvie Parker is a fictional character played by actress Tessa Thompson.
 E213396 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: Sylvie Parker | Statement: [Tessa Thompson, portrayed, Sylvie Parker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sylvie Parker
Context triple: [Tessa Thompson, portrayed, Sylvie Parker]
  • A. Emily Carmichael
    Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
  • B. Julie Packard
    Julie Packard is a marine biologist and conservationist best known as the founding executive director of the Monterey Bay Aquarium and a prominent advocate for ocean conservation.
  • C. Kate Garvey
    Kate Garvey is a British public relations executive and former political aide, known for her work with Tony Blair and her marriage to Wikipedia co-founder Jimmy Wales.
  • D. Sylvia Ashley
    Sylvia Ashley was a British model, showgirl, and socialite who became known for her high-profile marriages to several prominent men in the entertainment and aristocratic worlds.
  • E. Sarah Patrick
    Sarah Patrick is the daughter of Deval Patrick, the former governor of Massachusetts.
  • 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: Sylvie Parker
Triple: [Tessa Thompson, portrayed, Sylvie Parker]
Generated description
Sylvie Parker is a fictional character played by actress Tessa Thompson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sylvie Parker
Target entity description: Sylvie Parker is a fictional character played by actress Tessa Thompson.
  • A. Anna Nolin
    Anna Nolin is an American educator and school district leader who serves as superintendent of the Newton Public Schools in Massachusetts.
  • B. Emily Carmichael
    Emily Carmichael is an American filmmaker and screenwriter known for her work on genre films such as Pacific Rim: Uprising and for her distinctive, imaginative storytelling style.
  • C. Julie Packard
    Julie Packard is a marine biologist and conservationist best known as the founding executive director of the Monterey Bay Aquarium and a prominent advocate for ocean conservation.
  • D. Kate Garvey
    Kate Garvey is a British public relations executive and former political aide, known for her work with Tony Blair and her marriage to Wikipedia co-founder Jimmy Wales.
  • E. Sylvia Ashley
    Sylvia Ashley was a British model, showgirl, and socialite who became known for her high-profile marriages to several prominent men in the entertainment and aristocratic worlds.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64ba92a48190b69da748dfbfc53c completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69adeaceae088190a5ee93e6b46360cc completed March 8, 2026, 9:31 p.m.
NEDg Description generation batch_69adeb8a0a64819087e4505089e93093 completed March 8, 2026, 9:35 p.m.
NED2 Entity disambiguation (via description) batch_69adec6fcaac8190b43d0cd1aa613c95 completed March 8, 2026, 9:38 p.m.
Created at: March 4, 2026, 7:31 p.m.