Triple

T20745527
Position Surface form Disambiguated ID Type / Status
Subject Yvonne King E510572 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 borne without necessarily implying noble status.
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: [Yvonne King, familyName, King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: King
Context triple: [Yvonne 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
    King is a regal title traditionally denoting a male sovereign ruler of a kingdom, often associated with supreme authority and hereditary monarchy.
  • 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 a 2013 Indian Telugu-language action-comedy film starring Nagarjuna, known for its blend of mass entertainment, humor, and suspense.
  • 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: [Yvonne 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 borne without necessarily implying noble status.
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 borne without necessarily implying noble status.
  • 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 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c212b744819089bc1d47a020bd61 completed April 21, 2026, 12:17 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08e8407180819092dde86d0377c6cc completed May 16, 2026, 9:57 p.m.
NEDg Description generation batch_6a08e93ff7dc8190b4668b965e90ab10 completed May 16, 2026, 10:01 p.m.
NED2 Entity disambiguation (via description) batch_6a08ea02a1688190bc7944f67067bcfa completed May 16, 2026, 10:04 p.m.
Created at: April 16, 2026, 12:33 p.m.