Triple
T4140301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ronnie Chan |
E89254
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Ronnie
Ronnie is a masculine given name commonly used in English-speaking countries, often as a diminutive of Ronald or Veronica.
|
E415735
|
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: Ronnie | Statement: [Ronnie Chan, givenName, Ronnie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ronnie Context triple: [Ronnie Chan, givenName, Ronnie]
-
A.
Ronnie Fish
Ronnie Fish is a recurring comic character in P. G. Wodehouse’s Blandings Castle stories, known as Lord Emsworth’s mischievous and often romantically entangled nephew.
-
B.
Randy
Randy is a supporting character in the dark comedy film "The Opposite of Sex," involved in the tangled romantic and emotional conflicts that drive the story.
-
C.
Ronnie Knox
Ronnie Knox was an American football quarterback active in the 1950s, known for his college career at UCLA and California and a brief stint in the NFL and CFL.
-
D.
Ronnie Turner
Ronnie Turner was an American musician and actor best known as the son of legendary performers Tina Turner and Ike Turner.
-
E.
Ronnie Hillman
Ronnie Hillman was an American running back best known for his NFL career with the Denver Broncos, including contributing to their Super Bowl 50 championship.
- 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: Ronnie Triple: [Ronnie Chan, givenName, Ronnie]
Generated description
Ronnie is a masculine given name commonly used in English-speaking countries, often as a diminutive of Ronald or Veronica.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ronnie Target entity description: Ronnie is a masculine given name commonly used in English-speaking countries, often as a diminutive of Ronald or Veronica.
-
A.
Ronnie Fish
Ronnie Fish is a recurring comic character in P. G. Wodehouse’s Blandings Castle stories, known as Lord Emsworth’s mischievous and often romantically entangled nephew.
-
B.
Randy
Randy is a supporting character in the dark comedy film "The Opposite of Sex," involved in the tangled romantic and emotional conflicts that drive the story.
-
C.
Ronnie Knox
Ronnie Knox was an American football quarterback active in the 1950s, known for his college career at UCLA and California and a brief stint in the NFL and CFL.
-
D.
Ronnie Turner
Ronnie Turner was an American musician and actor best known as the son of legendary performers Tina Turner and Ike Turner.
-
E.
Ronnie Hillman
Ronnie Hillman was an American running back best known for his NFL career with the Denver Broncos, including contributing to their Super Bowl 50 championship.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0249dd988190bf6826a744e7771f |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576ccdf348190a80305485bee354e |
completed | March 14, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_69b577785cdc8190ad0864d63aadf908 |
completed | March 14, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b578168ecc8190bc47f0902b130c7d |
completed | March 14, 2026, 3 p.m. |
Created at: March 9, 2026, 3:43 p.m.