Triple
T426841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Larry King |
E9626
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object |
Cannon King
Cannon King is one of the sons of the late American television and radio host Larry King.
|
E54278
|
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: Cannon King | Statement: [Larry King, child, Cannon King]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cannon King Context triple: [Larry King, child, Cannon King]
-
A.
Koba
Koba was a revolutionary alias used by Joseph Stalin during his early political activities in the Bolshevik movement.
-
B.
Doso Doyabi
Doso Doyabi is a mountain peak located within the Snake Range in the western United States.
-
C.
Rollin King
Rollin King was an American businessman and co-founder of Southwest Airlines, instrumental in shaping the low-cost airline model in the United States.
-
D.
Mr. Commodore
Mr. Commodore is the costumed naval-themed mascot representing Vanderbilt University's athletic teams, the Commodores.
-
E.
Tora
Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
- 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: Cannon King Triple: [Larry King, child, Cannon King]
Generated description
Cannon King is one of the sons of the late American television and radio host Larry King.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cannon King Target entity description: Cannon King is one of the sons of the late American television and radio host Larry King.
-
A.
Koba
Koba was a revolutionary alias used by Joseph Stalin during his early political activities in the Bolshevik movement.
-
B.
Doso Doyabi
Doso Doyabi is a mountain peak located within the Snake Range in the western United States.
-
C.
Rollin King
Rollin King was an American businessman and co-founder of Southwest Airlines, instrumental in shaping the low-cost airline model in the United States.
-
D.
Mr. Commodore
Mr. Commodore is the costumed naval-themed mascot representing Vanderbilt University's athletic teams, the Commodores.
-
E.
Tora
Tora is a popular nickname for the Hanshin Tigers, a professional Japanese baseball team based in the Kansai region.
- F. None of above. chosen
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_69a2e801e1d48190b505d1dd336b52ac |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2eed691c4819092b7e57306114bbc |
completed | Feb. 28, 2026, 1:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a42f665c2881908850bce36cdf74b8 |
completed | March 1, 2026, 12:21 p.m. |
| NEDg | Description generation | batch_69a43038d2348190a348e6661d27dde4 |
completed | March 1, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a430f6c6f88190b5aecfe3c4c8957d |
completed | March 1, 2026, 12:28 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.