Triple

T12568063
Position Surface form Disambiguated ID Type / Status
Subject Luke Brattan E295522 entity
Predicate givenName P17 FINISHED
Object Luke
Luke is a masculine given name of Greek and Latin origin, commonly used in English-speaking countries.
E990760 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: Luke | Statement: [Luke Brattan, givenName, Luke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luke
Context triple: [Luke Brattan, givenName, Luke]
  • A. Luke
    Luke is traditionally regarded as the author of the Gospel of Luke and the Acts of the Apostles in the New Testament, and is thought to have been a physician and companion of the Apostle Paul.
  • B. Luke
    Luke is a character portrayed by Chiwetel Ejiofor in the romantic comedy film "Love Actually."
  • C. Luke
    Luke is a small town located in Allegany County, Maryland, known historically for its paper mill industry.
  • D. Luke
    Luke is a fictional character associated with mosquitoes, likely appearing in a story or media where he interacts with or is defined by these insects.
  • E. Luke
    Luke is the central protagonist of the horror film "The Ritual," a grieving man who confronts both inner guilt and supernatural terror during a hiking trip in a Scandinavian forest.
  • 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: Luke
Triple: [Luke Brattan, givenName, Luke]
Generated description
Luke is a masculine given name of Greek and Latin origin, commonly used in English-speaking countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Luke
Target entity description: Luke is a masculine given name of Greek and Latin origin, commonly used in English-speaking countries.
  • A. Luke
    Luke is a character portrayed by Chiwetel Ejiofor in the romantic comedy film "Love Actually."
  • B. Luke
    Luke is traditionally regarded as the author of the Gospel of Luke and the Acts of the Apostles in the New Testament, and is thought to have been a physician and companion of the Apostle Paul.
  • C. Luke
    Luke is a fictional character associated with mosquitoes, likely appearing in a story or media where he interacts with or is defined by these insects.
  • D. Luke
    Luke is a central character in James Baldwin’s play "The Amen Corner," serving as the estranged husband whose return forces the protagonist and her church community to confront painful truths about faith, family, and hypocrisy.
  • E. Luke
    Luke is a small green narrow-gauge steam locomotive character from the Skarloey Railway in the Thomas & Friends franchise.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d954a325948190994bcfc9d571a3a8 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655914f908190afbebbec3cb57e73 completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f657e504c881909b960acc7758b39d completed May 2, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69f658a80fd08190b1b8c161ca6e56ec completed May 2, 2026, 8:03 p.m.
Created at: April 8, 2026, 11:50 p.m.