Triple

T21310618
Position Surface form Disambiguated ID Type / Status
Subject Chester King E525323 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 necessarily implying nobility.
 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: [Chester King, familyName, King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: King
Context triple: [Chester King, familyName, King]
  • A. King
    "King" is a 2005 action-crime film directed by Craig R. Baxley, known for its gritty portrayal of underworld power struggles.
  • B. King
    The King is the reigning male monarch who serves as the head of state of the United Kingdom within its constitutional monarchy system.
  • C. King
    King is a public transit stop commonly associated with King Street, likely serving as a key access point along that corridor.
  • D. 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.
  • 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. 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: [Chester 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 necessarily implying nobility.
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 necessarily implying nobility.
  • 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 chosen
    King is a common English surname borne by numerous notable figures, including civil rights leader Martin Luther King Jr.
  • C. King
    King is a regal title traditionally denoting a male sovereign ruler of a kingdom, often associated with supreme authority and hereditary monarchy.
  • 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 a public transit stop commonly associated with King Street, likely serving as a key access point along that corridor.
  • 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_69e0b518b8948190ad69cf9a8784d397 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e75aab14f08190949e1407eb2b3e67 completed April 21, 2026, 11:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a099ed968d88190aa274406beb46e87 completed May 17, 2026, 10:56 a.m.
NEDg Description generation batch_6a099fb54c00819083422ecadd9aa1f5 completed May 17, 2026, 11 a.m.
NED2 Entity disambiguation (via description) batch_6a09a0242a94819095af1689fe5aea0a completed May 17, 2026, 11:01 a.m.
Created at: April 16, 2026, 4:09 p.m.