Triple

T7561070
Position Surface form Disambiguated ID Type / Status
Subject Taken E178794 entity
Predicate starring P1507 FINISHED
Object Maggie Grace
Maggie Grace is an American actress best known for her roles in the TV series "Lost" and the "Taken" film series.
E673172 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: Maggie Grace | Statement: [Taken, starring, Maggie Grace]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maggie Grace
Context triple: [Taken, starring, Maggie Grace]
  • A. Dakota Fanning
    Dakota Fanning is an American actress who rose to fame as a child star in films like "I Am Sam" and has since built a diverse career in both mainstream and independent cinema.
  • B. Chloë Grace Moretz
    Chloë Grace Moretz is an American actress known for her versatile performances in films such as "Kick-Ass," "Let Me In," and "If I Stay."
  • C. Haley Bennett
    Haley Bennett is an American actress and singer known for her versatile performances in films such as "The Girl on the Train," "The Magnificent Seven," and "Swallow."
  • D. Olivia DeJonge
    Olivia DeJonge is an Australian actress known for her role as Priscilla Presley in Baz Luhrmann’s 2022 biographical film "Elvis."
  • E. Taylor Russell
    Taylor Russell is a Canadian actress best known for her breakout role in the Netflix sci-fi series "Lost in Space" and acclaimed performances in films such as "Waves" and "Bones and All."
  • 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: Maggie Grace
Triple: [Taken, starring, Maggie Grace]
Generated description
Maggie Grace is an American actress best known for her roles in the TV series "Lost" and the "Taken" film series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Maggie Grace
Target entity description: Maggie Grace is an American actress best known for her roles in the TV series "Lost" and the "Taken" film series.
  • A. Dakota Fanning
    Dakota Fanning is an American actress who rose to fame as a child star in films like "I Am Sam" and has since built a diverse career in both mainstream and independent cinema.
  • B. Chloë Grace Moretz
    Chloë Grace Moretz is an American actress known for her versatile performances in films such as "Kick-Ass," "Let Me In," and "If I Stay."
  • C. Haley Bennett
    Haley Bennett is an American actress and singer known for her versatile performances in films such as "The Girl on the Train," "The Magnificent Seven," and "Swallow."
  • D. Olivia DeJonge
    Olivia DeJonge is an Australian actress known for her role as Priscilla Presley in Baz Luhrmann’s 2022 biographical film "Elvis."
  • E. Taylor Russell
    Taylor Russell is a Canadian actress best known for her breakout role in the Netflix sci-fi series "Lost in Space" and acclaimed performances in films such as "Waves" and "Bones and All."
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8f847c48190a1081aa9de7ff945 completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856d0cbfc8190b2cb2b601a7b078c completed March 28, 2026, 10:31 p.m.
NEDg Description generation batch_69c857e2b6b08190ad5236352d0142be completed March 28, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_69c8587de3588190a209069dfee31a21 completed March 28, 2026, 10:38 p.m.
Created at: March 27, 2026, 3:50 p.m.