Triple
T2772404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Don King |
E61486
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
King
King is a common English surname historically associated with leadership or royal service and borne by numerous notable figures across politics, sports, and the arts.
|
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: [Don King, familyName, King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Context triple: [Don 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 township in the Regional Municipality of York in Ontario, Canada, known for its rural landscapes, rolling hills, and equestrian farms within the Greater Toronto Area.
-
C.
King
The King of Norway is the constitutional monarch and ceremonial head of state in Norway’s parliamentary system.
-
D.
King
King is a prominent video game company best known for creating the massively popular mobile puzzle game Candy Crush Saga.
-
E.
King
King is a regal title traditionally denoting a male sovereign ruler of a kingdom, often associated with supreme authority and hereditary monarchy.
- 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: [Don King, familyName, King]
Generated description
King is a common English surname historically associated with leadership or royal service and borne by numerous notable figures across politics, sports, and the arts.
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 leadership or royal service and borne by numerous notable figures across politics, sports, and the arts.
-
A.
King
chosen
King is a common English surname borne by numerous notable figures, including civil rights leader Martin Luther King Jr.
-
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
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 prominent video game company best known for creating the massively popular mobile puzzle game Candy Crush Saga.
-
E.
King
The King of the Netherlands is the hereditary head of state who formally embodies the monarchy within the country’s constitutional system.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd6b9cc48190bd9f7d8d33fe1ec1 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc64c83748190921589bec20dec58 |
completed | March 10, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69afc6b723f48190b93df0dc2de6c839 |
completed | March 10, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc750fee08190bf3c112f6f204af4 |
completed | March 10, 2026, 7:25 a.m. |
Created at: March 6, 2026, 9:57 p.m.