Triple
T4419142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dan Reeves |
E95053
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Reeves
Reeves is a surname of English origin borne by numerous notable individuals across sports, entertainment, and other fields.
|
E438057
|
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: Reeves | Statement: [Dan Reeves, familyName, Reeves]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reeves Context triple: [Dan Reeves, familyName, Reeves]
-
A.
Reeve
Reeve is the given name of Reeve Lindbergh, an American author and the daughter of aviator Charles Lindbergh and writer Anne Morrow Lindbergh.
-
B.
Reeve
The Reeve is a shrewd, irritable estate manager and skilled carpenter who appears as one of the pilgrims and storytellers in Geoffrey Chaucer’s The Canterbury Tales.
-
C.
Keanu Reeves
Keanu Reeves is a Canadian actor and producer known for his roles in blockbuster action and science fiction films such as The Matrix and John Wick franchises.
-
D.
Damon
Damon is a character in the pastoral myth of Acis and Galatea, often portrayed as a shepherd whose role highlights themes of love, jealousy, and counsel.
-
E.
Damon
Damon is a surname most prominently associated with American actor, producer, and screenwriter Matt Damon and his family.
- 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: Reeves Triple: [Dan Reeves, familyName, Reeves]
Generated description
Reeves is a surname of English origin borne by numerous notable individuals across sports, entertainment, and other fields.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reeves Target entity description: Reeves is a surname of English origin borne by numerous notable individuals across sports, entertainment, and other fields.
-
A.
Reeve
Reeve is the given name of Reeve Lindbergh, an American author and the daughter of aviator Charles Lindbergh and writer Anne Morrow Lindbergh.
-
B.
Reeve
The Reeve is a shrewd, irritable estate manager and skilled carpenter who appears as one of the pilgrims and storytellers in Geoffrey Chaucer’s The Canterbury Tales.
-
C.
Keanu Reeves
Keanu Reeves is a Canadian actor and producer known for his roles in blockbuster action and science fiction films such as The Matrix and John Wick franchises.
-
D.
Damon
Damon is a character in the pastoral myth of Acis and Galatea, often portrayed as a shepherd whose role highlights themes of love, jealousy, and counsel.
-
E.
Damon
Damon is a surname most prominently associated with American actor, producer, and screenwriter Matt Damon and his family.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3551e7c6c819090fa5dfb5ac58e4c |
completed | March 13, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f623c958819087630c16b6ac8cb8 |
completed | March 14, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69b5f9f26ef88190842e01d952e52125 |
completed | March 15, 2026, 12:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5faa6bfe881908a76c6c54f89feda |
completed | March 15, 2026, 12:17 a.m. |
Created at: March 12, 2026, 11:29 p.m.