Triple

T17217793
Position Surface form Disambiguated ID Type / Status
Subject Elektra King E417895 entity
Predicate familyName P18 FINISHED
Object King
King is a common English surname historically associated with people who held or served royal or leadership roles, and is now widely used without regard to social rank.
 E1611 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: King | Statement: [Elektra King, familyName, King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: King
Context triple: [Elektra King, familyName, King]
  • A. King
    The King is the reigning male monarch who serves as the head of state of the United Kingdom within its constitutional monarchy system.
  • B. King
    The King of the Netherlands is the hereditary head of state who formally embodies the monarchy within the country’s constitutional system.
  • C. King
    "King" is a 2022 song by English indie rock band Florence and the Machine that explores themes of womanhood, power, and identity.
  • D. King
    King is a public transit stop commonly associated with King Street, likely serving as a key access point along that corridor.
  • E. King
    King is a recurring fighter in the Art of Fighting and The King of Fighters video game series, known for her Muay Thai fighting style and androgynous appearance.
  • 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: King
Triple: [Elektra King, familyName, King]
Generated description
King is a common English surname historically associated with people who held or served royal or leadership roles, and is now widely used without regard to social rank.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: King
Target entity description: King is a common English surname historically associated with people who held or served royal or leadership roles, and is now widely used without regard to social rank.
  • A. King
    King is a masculine given name, historically associated with leadership or nobility and occasionally used as a first name in English-speaking countries.
  • B. King
    King is a regal title traditionally denoting a male sovereign ruler of a kingdom, often associated with supreme authority and hereditary monarchy.
  • C. King chosen
    King is a common English surname borne by numerous notable figures, including civil rights leader Martin Luther King Jr.
  • D. King
    The King is the reigning male monarch who serves as the head of state of the United Kingdom within its constitutional monarchy system.
  • E. King
    King is the jovial and temperamental monarch in Disney’s Cinderella, best known as Prince Charming’s father who eagerly schemes to see his son married.
  • F. None of above.

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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddb2b148190b3b50572cc285e3d completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01675553b88190a04987b0de62cb15 completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a0169e5f7e881909cb3fe35935d888d completed May 11, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_6a016a46409881908ea7e93fd31cd5c5 completed May 11, 2026, 5:33 a.m.
Created at: April 10, 2026, 5:38 a.m.