Triple
T15927190
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Remy Danton |
E386232
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object |
Glendon Hill
Glendon Hill is a powerful Washington, D.C. lobbying firm in the TV series "House of Cards," known for employing political operative Remy Danton.
|
E1184850
|
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: Glendon Hill | Statement: [Remy Danton, employer, Glendon Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Glendon Hill Context triple: [Remy Danton, employer, Glendon Hill]
-
A.
North Hill
North Hill is one of the prominent hills in the Malvern Hills range in England, known for its scenic views and popular walking paths.
-
B.
North Hill
North Hill is a residential neighborhood and historic district within the city of New Castle, Pennsylvania.
-
C.
Brewster Hill
Brewster Hill is a small residential hamlet within the Town of Southeast in Putnam County, New York.
-
D.
Morrison Hill
Morrison Hill is a locality in Hong Kong known for its residential buildings, sports facilities, and proximity to the bustling commercial areas of Wan Chai and Causeway Bay.
-
E.
West Hill
West Hill is a residential neighbourhood in the eastern part of Scarborough, Toronto, known for its diverse community and proximity to the Highland Creek ravine and Lake Ontario.
- 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: Glendon Hill Triple: [Remy Danton, employer, Glendon Hill]
Generated description
Glendon Hill is a powerful Washington, D.C. lobbying firm in the TV series "House of Cards," known for employing political operative Remy Danton.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Glendon Hill Target entity description: Glendon Hill is a powerful Washington, D.C. lobbying firm in the TV series "House of Cards," known for employing political operative Remy Danton.
-
A.
North Hill
North Hill is one of the prominent hills in the Malvern Hills range in England, known for its scenic views and popular walking paths.
-
B.
North Hill
North Hill is a residential neighborhood and historic district within the city of New Castle, Pennsylvania.
-
C.
Brewster Hill
Brewster Hill is a small residential hamlet within the Town of Southeast in Putnam County, New York.
-
D.
Morrison Hill
Morrison Hill is a locality in Hong Kong known for its residential buildings, sports facilities, and proximity to the bustling commercial areas of Wan Chai and Causeway Bay.
-
E.
West Hill
West Hill is a residential neighbourhood in the eastern part of Scarborough, Toronto, known for its diverse community and proximity to the Highland Creek ravine and Lake Ontario.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156866de48190a744e8dcaa0c66f1 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5b0833081909668c042234b5b75 |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb6a526188190be80658fb23cacbd |
completed | May 9, 2026, 10:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb71cea948190a1c5998654aee8d5 |
completed | May 9, 2026, 10:37 p.m. |
Created at: April 10, 2026, 4:52 a.m.