Triple

T12921920
Position Surface form Disambiguated ID Type / Status
Subject Thomas Starr King E309145 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 across the English-speaking world.
 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: [Thomas Starr King, familyName, King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: King
Context triple: [Thomas Starr King, familyName, King]
  • A. King
    The King of Norway is the constitutional monarch and ceremonial head of state in Norway’s parliamentary system.
  • B. King
    King is a masculine given name, historically associated with leadership or nobility and occasionally used as a first name in English-speaking countries.
  • C. King
    King is a professional esports player best known for competing under the handle "King" in games such as League of Legends.
  • 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 2022 song by English indie rock band Florence and the Machine that explores themes of womanhood, power, and identity.
  • 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: [Thomas Starr 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 across the English-speaking world.
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 across the English-speaking world.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d971e7f6e881908c7bb12283898c80 completed April 10, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6af625af88190b036f97feaefe43b completed May 3, 2026, 2:13 a.m.
NEDg Description generation batch_69f6b0653ef88190ad0e3a48675ecdcc completed May 3, 2026, 2:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6b1aa191081908266128776a2147a completed May 3, 2026, 2:23 a.m.
Created at: April 9, 2026, 5:42 p.m.