Triple

T13038482
Position Surface form Disambiguated ID Type / Status
Subject Maggie Rice E326626 entity
Predicate hasRelationshipWith P2830 FINISHED
Object Nathaniel Messinger
Nathaniel Messinger is a character in the film "City of Angels," an angel who interacts with Maggie Rice as she grapples with life, death, and love.
 E1020704 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: Nathaniel Messinger | Statement: [Maggie Rice, hasRelationshipWith, Nathaniel Messinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nathaniel Messinger
Context triple: [Maggie Rice, hasRelationshipWith, Nathaniel Messinger]
  • A. Nathaniel Moran
    Nathaniel Moran is a Republican politician serving as the U.S. Representative for Texas's 1st congressional district.
  • B. Nicholas Wittman
    Nicholas Wittman is an actor best known for his role in the television series "Mars."
  • C. Eli Meyer
    Eli Meyer is one of the children of Stephenie Meyer, the bestselling author of the "Twilight" series.
  • D. Andrew Mondshein
    Andrew Mondshein is an American film editor known for his work on acclaimed movies such as "Ma Rainey's Black Bottom" and "The Sixth Sense."
  • E. Nathaniel Kahn
    Nathaniel Kahn is an American filmmaker best known for his documentary "My Architect," which explores the life and legacy of his father, renowned architect Louis Kahn.
  • 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: Nathaniel Messinger
Triple: [Maggie Rice, hasRelationshipWith, Nathaniel Messinger]
Generated description
Nathaniel Messinger is a character in the film "City of Angels," an angel who interacts with Maggie Rice as she grapples with life, death, and love.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nathaniel Messinger
Target entity description: Nathaniel Messinger is a character in the film "City of Angels," an angel who interacts with Maggie Rice as she grapples with life, death, and love.
  • A. Nathaniel Moran
    Nathaniel Moran is a Republican politician serving as the U.S. Representative for Texas's 1st congressional district.
  • B. Nicholas Wittman
    Nicholas Wittman is an actor best known for his role in the television series "Mars."
  • C. Eli Meyer
    Eli Meyer is one of the children of Stephenie Meyer, the bestselling author of the "Twilight" series.
  • D. Andrew Mondshein
    Andrew Mondshein is an American film editor known for his work on acclaimed movies such as "Ma Rainey's Black Bottom" and "The Sixth Sense."
  • E. Nathaniel Kahn
    Nathaniel Kahn is an American filmmaker best known for his documentary "My Architect," which explores the life and legacy of his father, renowned architect Louis Kahn.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d9804b743c8190810dc5c14bc6d912 completed April 10, 2026, 10:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5fbaea8819080ca249159d6c125 completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6d943a80c81909bc39b9a9ef303bd completed May 3, 2026, 5:12 a.m.
NED2 Entity disambiguation (via description) batch_69f6da1e56388190b536831b2c6d493f completed May 3, 2026, 5:16 a.m.
Created at: April 9, 2026, 8:55 p.m.