Triple
T11238820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Hall (politician) |
E266015
|
entity |
| Predicate | notableBand |
P6597
|
FINISHED |
| Object |
Orleans
Orleans is an American soft rock band best known for 1970s hits like "Still the One" and "Dance with Me."
|
E913965
|
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: Orleans | Statement: [John Hall (politician), notableBand, Orleans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orleans Context triple: [John Hall (politician), notableBand, Orleans]
-
A.
Orleans
Orleans is a coastal town on outer Cape Cod in Massachusetts known for its beaches, fishing, and role as a popular summer vacation destination.
-
B.
Orleans
Orleans is a white grape variety used in European wine production, historically cultivated in regions such as Germany and Central Europe.
-
C.
Orléans
Orléans is a federal electoral district in the eastern part of Ottawa, Ontario, represented in the House of Commons of Canada.
-
D.
Orléans
Orléans is a historic city in north-central France, renowned for its association with Joan of Arc and its location on the Loire River.
-
E.
Saint-Louis
Saint-Louis is a French border town in the Alsace region, adjacent to Basel and known as a key cross-border transit and commuter hub between France, Switzerland, and Germany.
- 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: Orleans Triple: [John Hall (politician), notableBand, Orleans]
Generated description
Orleans is an American soft rock band best known for 1970s hits like "Still the One" and "Dance with Me."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orleans Target entity description: Orleans is an American soft rock band best known for 1970s hits like "Still the One" and "Dance with Me."
-
A.
Orleans
Orleans is a coastal town on outer Cape Cod in Massachusetts known for its beaches, fishing, and role as a popular summer vacation destination.
-
B.
Orleans
Orleans is a white grape variety used in European wine production, historically cultivated in regions such as Germany and Central Europe.
-
C.
Orléans
Orléans is a federal electoral district in the eastern part of Ottawa, Ontario, represented in the House of Commons of Canada.
-
D.
Orléans
Orléans is a historic city in north-central France, renowned for its association with Joan of Arc and its location on the Loire River.
-
E.
Saint-Louis
Saint-Louis is a French border town in the Alsace region, adjacent to Basel and known as a key cross-border transit and commuter hub between France, Switzerland, and Germany.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e918375081908c2a7ccb50cbf331 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc5bcff08190830d09c9aa0187b2 |
completed | April 19, 2026, 12:36 p.m. |
| NEDg | Description generation | batch_69e4d9e87508819080932fac06fb754d |
completed | April 19, 2026, 1:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e4dda28b0081909245b65faae3533b |
completed | April 19, 2026, 1:50 p.m. |
Created at: April 8, 2026, 9:30 p.m.