Triple

T14413232
Position Surface form Disambiguated ID Type / Status
Subject The Covenant E357382 entity
Predicate castMember P1668 FINISHED
Object Laura Ramsey
Laura Ramsey is an American actress known for her roles in films such as "The Covenant," "She's the Man," and "The Ruins."
E1173197 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: Laura Ramsey | Statement: [The Covenant, castMember, Laura Ramsey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Ramsey
Context triple: [The Covenant, castMember, Laura Ramsey]
  • A. Rachel Ramras
    Rachel Ramras is an American actress, comedian, and voice artist known for her work on animated series such as "The Looney Tunes Show" and for co-creating and starring in the comedy series "Nobodies."
  • B. Shannon Larkin
    Shannon Larkin is an American drummer best known for his powerful, hard-hitting work with the rock band Godsmack.
  • C. Laura Harrington
    Laura Harrington is an American actress best known for her role in the 1986 Stephen King film "Maximum Overdrive."
  • D. Lisa Emery
    Lisa Emery is an American actress best known for her role as the ruthless heroin distributor Darlene Snell in the Netflix crime drama series "Ozark."
  • E. Laura Holt
    Laura Holt is the clever and resourceful private investigator who secretly runs the Remington Steele detective agency in the television series of the same name.
  • 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: Laura Ramsey
Triple: [The Covenant, castMember, Laura Ramsey]
Generated description
Laura Ramsey is an American actress known for her roles in films such as "The Covenant," "She's the Man," and "The Ruins."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Laura Ramsey
Target entity description: Laura Ramsey is an American actress known for her roles in films such as "The Covenant," "She's the Man," and "The Ruins."
  • A. Rachel Ramras
    Rachel Ramras is an American actress, comedian, and voice artist known for her work on animated series such as "The Looney Tunes Show" and for co-creating and starring in the comedy series "Nobodies."
  • B. Shannon Larkin
    Shannon Larkin is an American drummer best known for his powerful, hard-hitting work with the rock band Godsmack.
  • C. Laura Harrington
    Laura Harrington is an American actress best known for her role in the 1986 Stephen King film "Maximum Overdrive."
  • D. Lisa Emery
    Lisa Emery is an American actress best known for her role as the ruthless heroin distributor Darlene Snell in the Netflix crime drama series "Ozark."
  • E. Laura Holt
    Laura Holt is the clever and resourceful private investigator who secretly runs the Remington Steele detective agency in the television series of the same name.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cb3c708190822f5506ebf7ee9d completed April 14, 2026, 7:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff82dcec0c8190a5e4ac0aafd34504 completed May 9, 2026, 6:54 p.m.
NEDg Description generation batch_69ff83593f9c8190a5eccb8cde49345c completed May 9, 2026, 6:56 p.m.
NED2 Entity disambiguation (via description) batch_69ff83bbdfa48190b992210f8d38f3fb completed May 9, 2026, 6:58 p.m.
Created at: April 10, 2026, 1:17 a.m.