Triple

T16782460
Position Surface form Disambiguated ID Type / Status
Subject The Estate (2022 film) E407888 entity
Predicate character P662 FINISHED
Object James
James is a supporting character in the dark comedy film "The Estate," involved in the chaotic family scheming over a wealthy aunt’s inheritance.
 E1236649 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: James | Statement: [The Estate (2022 film), character, James]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: James
Context triple: [The Estate (2022 film), character, James]
  • A. John
    John is the husband of Martha Rainsborough.
  • B. John
    John Seigenthaler was an American journalist, editor, and civil rights advocate best known for his long tenure at The Tennessean and his work promoting First Amendment rights.
  • C. John
    John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
  • D. John
    John is the given name of John Copley, 1st Baron Lyndhurst, a prominent 19th-century British lawyer and Conservative politician who served three times as Lord Chancellor.
  • E. John
    John of Montfort was a 14th-century nobleman involved in the Breton succession disputes during the Hundred Years’ War.
  • 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: James
Triple: [The Estate (2022 film), character, James]
Generated description
James is a supporting character in the dark comedy film "The Estate," involved in the chaotic family scheming over a wealthy aunt’s inheritance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: James
Target entity description: James is a supporting character in the dark comedy film "The Estate," involved in the chaotic family scheming over a wealthy aunt’s inheritance.
  • A. James
    James is an individual known primarily as the romantic partner of Victoria.
  • B. James
    James is a sadistic tracker vampire and one of the primary antagonists in Stephenie Meyer’s Twilight Saga, particularly prominent in the novel "Twilight" and its companion "Midnight Sun."
  • C. James
    James is a prominent early Christian figure, traditionally identified as James the brother of Jesus and a leader in the Jerusalem church.
  • D. James
    James is a common English surname of Hebrew origin, widely borne by notable figures in sports, politics, and the arts.
  • E. James
    James is the middle name of Edward James Lennox, a prominent Canadian architect known for designing several landmark buildings in Toronto.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b217b2108190bbba262a3b324509 completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb0911488190a65c1dc536b6ea3e completed May 10, 2026, 5:06 p.m.
NEDg Description generation batch_6a00bbc80d54819092de4ee363508b49 completed May 10, 2026, 5:09 p.m.
NED2 Entity disambiguation (via description) batch_6a00bc633abc8190a86808986ba294ec completed May 10, 2026, 5:12 p.m.
Created at: April 10, 2026, 5:22 a.m.