Triple
T18288986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christopher Reeve |
E438057
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Reeve
Reeve is a surname most famously associated with American actor Christopher Reeve, renowned for his iconic portrayal of Superman.
|
E1320617
|
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: Reeve | Statement: [Christopher Reeve, familyName, Reeve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reeve Context triple: [Christopher Reeve, familyName, Reeve]
-
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.
Reeves
Reeves is a surname of English origin borne by numerous notable individuals across sports, entertainment, and other fields.
-
D.
Will Reeve
Will Reeve is an American television journalist and the son of late actor Christopher Reeve and Dana Reeve.
-
E.
Christopher Reeve
Christopher Reeve was an American actor best known for his iconic portrayal of Superman in the late 1970s and 1980s film series.
- 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: Reeve Triple: [Christopher Reeve, familyName, Reeve]
Generated description
Reeve is a surname most famously associated with American actor Christopher Reeve, renowned for his iconic portrayal of Superman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Reeve Target entity description: Reeve is a surname most famously associated with American actor Christopher Reeve, renowned for his iconic portrayal of Superman.
-
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.
Reeves
Reeves is a surname of English origin borne by numerous notable individuals across sports, entertainment, and other fields.
-
D.
Will Reeve
Will Reeve is an American television journalist and the son of late actor Christopher Reeve and Dana Reeve.
-
E.
Christopher Reeve
Christopher Reeve was an American actor best known for his iconic portrayal of Superman in the late 1970s and 1980s film series.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500fc49b88190bd5b562e0a959e9d |
completed | April 19, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03d7676e748190ba2b6db0a4a20da9 |
completed | May 13, 2026, 1:44 a.m. |
| NEDg | Description generation | batch_6a03d80cbd708190b9b54ff85c5ec66c |
completed | May 13, 2026, 1:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03d8a25460819090f1ffa15f05a716 |
completed | May 13, 2026, 1:49 a.m. |
Created at: April 10, 2026, 10:35 a.m.