Triple
T8140610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Carolina delegation to the Continental Congress |
E190085
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
John Hall
John Hall was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
|
E712223
|
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: John Hall | Statement: [South Carolina delegation to the Continental Congress, hasMember, John Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Hall Context triple: [South Carolina delegation to the Continental Congress, hasMember, John Hall]
-
A.
John Hall
John Hall was an English physician best known as the son-in-law of William Shakespeare and the former resident of Hall’s Croft in Stratford-upon-Avon.
-
B.
John Hall
John Hall was a British Conservative politician who served as a Member of Parliament in the mid-20th century.
-
C.
John Hall
John Hall is an alias used by the infamous American bank robber and Depression-era outlaw John Dillinger.
-
D.
Hugh McDowell
Hugh McDowell was an English cellist best known for his dynamic performances and recordings with the rock band Electric Light Orchestra during the 1970s.
-
E.
John Palmer
John Palmer is a film industry professional known for his work as an assistant director, including on the movie "Empire."
- 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: John Hall Triple: [South Carolina delegation to the Continental Congress, hasMember, John Hall]
Generated description
John Hall was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Hall Target entity description: John Hall was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
-
A.
John Hall
John Hall was an English physician best known as the son-in-law of William Shakespeare and the former resident of Hall’s Croft in Stratford-upon-Avon.
-
B.
John Hall
John Hall is an alias used by the infamous American bank robber and Depression-era outlaw John Dillinger.
-
C.
John Hall
John Hall was a British Conservative politician who served as a Member of Parliament in the mid-20th century.
-
D.
Hugh McDowell
Hugh McDowell was an English cellist best known for his dynamic performances and recordings with the rock band Electric Light Orchestra during the 1970s.
-
E.
John Palmer
John Palmer is a film industry professional known for his work as an assistant director, including on the movie "Empire."
- 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4404e5308190a323485701f09d86 |
completed | March 31, 2026, 3:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc94a3fb348190ab8895a7344f964e |
completed | April 1, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_69cc95c228c08190a603c1dff44ff299 |
completed | April 1, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc96b02d38819085eb51c1943b3045 |
completed | April 1, 2026, 3:53 a.m. |
Created at: March 30, 2026, 5:36 p.m.