Triple

T22410462
Position Surface form Disambiguated ID Type / Status
Subject Kerry King E553981 entity
Predicate familyName P18 FINISHED
Object King
King is a common English surname historically associated with people who worked in or near royal households or who were nicknamed for king-like bearing.
 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: [Kerry King, familyName, King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: King
Context triple: [Kerry King, familyName, King]
  • A. King
    "King" is a hit synth-pop song by the British band Years & Years, known for its catchy melody and themes of emotional control and toxic relationships.
  • B. King
    "King" is a 2005 action-crime film directed by Craig R. Baxley, known for its gritty portrayal of underworld power struggles.
  • C. King
    The King is the reigning male monarch who serves as the head of state of the United Kingdom within its constitutional monarchy system.
  • D. King
    "King" is a 2022 song by English indie rock band Florence and the Machine that explores themes of womanhood, power, and identity.
  • 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. 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: [Kerry King, familyName, King]
Generated description
King is a common English surname historically associated with people who worked in or near royal households or who were nicknamed for king-like bearing.
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 worked in or near royal households or who were nicknamed for king-like bearing.
  • 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 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15942edb081909869ae013ea72f09 completed April 29, 2026, 1:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0af0e482288190be4e064a2d316780 completed May 18, 2026, 10:58 a.m.
NEDg Description generation batch_6a0af28a8d5881908217c6f49363d411 completed May 18, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_6a0af311f6448190a7e8196bb0e0d4fb completed May 18, 2026, 11:08 a.m.
Created at: April 16, 2026, 8:46 p.m.