Triple
T6611788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Redgrave |
E149253
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Redgrave
Redgrave is a notable English surname associated with several prominent figures in sports and the performing arts.
|
E324507
|
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: Redgrave | Statement: [Steve Redgrave, familyName, Redgrave]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Redgrave Context triple: [Steve Redgrave, familyName, Redgrave]
-
A.
Redgrave
Redgrave is a small rural village and civil parish in the county of Suffolk, England.
-
B.
Kemble
Kemble is the middle name of American civil engineer and Union Army general Gouverneur K. Warren, noted for his role at the Battle of Gettysburg during the American Civil War.
-
C.
Kemble
Kemble is a village in Gloucestershire, England, known as a gateway to the Cotswolds and for its nearby railway station on the main line between London and Cheltenham.
-
D.
Gambon
Gambon is the surname of Sir Michael Gambon, the acclaimed Irish-English actor best known for portraying Albus Dumbledore in the Harry Potter film series.
-
E.
Anneke Wills
Anneke Wills is a British actress best known for playing the companion Polly in the classic science fiction television series Doctor Who during the 1960s.
- 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: Redgrave Triple: [Steve Redgrave, familyName, Redgrave]
Generated description
Redgrave is a notable English surname associated with several prominent figures in sports and the performing arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Redgrave Target entity description: Redgrave is a notable English surname associated with several prominent figures in sports and the performing arts.
-
A.
Redgrave
chosen
Redgrave is a small rural village and civil parish in the county of Suffolk, England.
-
B.
Kemble
Kemble is the middle name of American civil engineer and Union Army general Gouverneur K. Warren, noted for his role at the Battle of Gettysburg during the American Civil War.
-
C.
Kemble
Kemble is a village in Gloucestershire, England, known as a gateway to the Cotswolds and for its nearby railway station on the main line between London and Cheltenham.
-
D.
Gambon
Gambon is the surname of Sir Michael Gambon, the acclaimed Irish-English actor best known for portraying Albus Dumbledore in the Harry Potter film series.
-
E.
Anneke Wills
Anneke Wills is a British actress best known for playing the companion Polly in the classic science fiction television series Doctor Who during the 1960s.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af3778a8819094e83afed7c6596f |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbd651c08190a19513645fc781c9 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd88f66c81909b364a816aeee8bf |
completed | March 27, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce3a53cc8190a40d696a22ec65f4 |
completed | March 27, 2026, 6:36 p.m. |
Created at: March 27, 2026, 1:57 p.m.