Triple

T10516359
Position Surface form Disambiguated ID Type / Status
Subject Shirley E248044 entity
Predicate character P662 FINISHED
Object Louis Moore
Louis Moore is a fictional character appearing in the 1977 American film "Shirley."
 E873615 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: Louis Moore | Statement: [Shirley, character, Louis Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Louis Moore
Context triple: [Shirley, character, Louis Moore]
  • A. Richard Moore
    Richard Moore was an early 17th-century English colonial administrator who became the inaugural governor of Bermuda, helping to establish the island’s first formal government.
  • B. Ben Moore
    Ben Moore is a British composer and musician recognized for his contributions to contemporary classical and choral music.
  • C. Ben Moore
    Ben Moore is an American gospel singer best known as a longtime member of the legendary vocal group The Blind Boys of Alabama.
  • D. Joseph Moore Jr.
    Joseph Moore Jr. was a benefactor and namesake associated with the founding or early development of Moore College of Art and Design in Philadelphia.
  • E. William Moore
    William Moore was an early settler and landowner after whom the city of Raymore, Missouri, was named.
  • 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: Louis Moore
Triple: [Shirley, character, Louis Moore]
Generated description
Louis Moore is a fictional character appearing in the 1977 American film "Shirley."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Louis Moore
Target entity description: Louis Moore is a fictional character appearing in the 1977 American film "Shirley."
  • A. Richard Moore
    Richard Moore was an early 17th-century English colonial administrator who became the inaugural governor of Bermuda, helping to establish the island’s first formal government.
  • B. Ben Moore
    Ben Moore is a British composer and musician recognized for his contributions to contemporary classical and choral music.
  • C. Ben Moore
    Ben Moore is an American gospel singer best known as a longtime member of the legendary vocal group The Blind Boys of Alabama.
  • D. Joseph Moore Jr.
    Joseph Moore Jr. was a benefactor and namesake associated with the founding or early development of Moore College of Art and Design in Philadelphia.
  • E. William Moore
    William Moore was an early settler and landowner after whom the city of Raymore, Missouri, was named.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509cc58b081908ef15aa89b396db6 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e63561081909af8b2242e896bfe completed April 10, 2026, 8:32 p.m.
NEDg Description generation batch_69d95f97669881908b54ebcd1a7c6b34 completed April 10, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_69d9602748608190b0c971accf44b7aa completed April 10, 2026, 8:40 p.m.
Created at: April 6, 2026, 12:28 p.m.