Triple
T2330208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sean Bean |
E48383
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Sharpe
Sharpe is a British television drama series based on Bernard Cornwell’s novels, following the adventures of soldier Richard Sharpe during the Napoleonic Wars.
|
E255980
|
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: Sharpe | Statement: [Sean Bean, notableWork, Sharpe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sharpe Context triple: [Sean Bean, notableWork, Sharpe]
-
A.
Sharpe
Sharpe is the surname of Shannon Sharpe, a Hall of Fame former NFL tight end and prominent sports analyst.
-
B.
Richard Bowdler Sharpe
Richard Bowdler Sharpe was a 19th-century English zoologist and ornithologist known for his extensive work on bird classification and descriptions, including numerous species of raptors.
-
C.
Outram
Outram is a central district in Singapore known for its major medical facilities, heritage architecture, and proximity to the downtown core.
-
D.
Outram
Outram is an English surname historically associated with several notable figures, including British military officers and public servants.
-
E.
Lord Lorne
Lord Lorne is a courtesy title traditionally borne by the heir apparent to the Duke of Argyll in the Scottish peerage.
- 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: Sharpe Triple: [Sean Bean, notableWork, Sharpe]
Generated description
Sharpe is a British television drama series based on Bernard Cornwell’s novels, following the adventures of soldier Richard Sharpe during the Napoleonic Wars.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sharpe Target entity description: Sharpe is a British television drama series based on Bernard Cornwell’s novels, following the adventures of soldier Richard Sharpe during the Napoleonic Wars.
-
A.
Sharpe
Sharpe is the surname of Shannon Sharpe, a Hall of Fame former NFL tight end and prominent sports analyst.
-
B.
Richard Bowdler Sharpe
Richard Bowdler Sharpe was a 19th-century English zoologist and ornithologist known for his extensive work on bird classification and descriptions, including numerous species of raptors.
-
C.
Outram
Outram is a central district in Singapore known for its major medical facilities, heritage architecture, and proximity to the downtown core.
-
D.
Outram
Outram is an English surname historically associated with several notable figures, including British military officers and public servants.
-
E.
Lord Lorne
Lord Lorne is a courtesy title traditionally borne by the heir apparent to the Duke of Argyll in the Scottish peerage.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc667235c819086140af9db961203 |
completed | March 7, 2026, 6:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8974ab8c81908ec2bddcc882cf42 |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8a084b388190a6d79df8d94b236d |
completed | March 9, 2026, 8:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8a895b6c8190bfd064742e3cc4f8 |
completed | March 9, 2026, 8:53 a.m. |
Created at: March 4, 2026, 7:50 p.m.