Triple
T17316631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loch Fell |
E420442
|
entity |
| Predicate | category |
P87
|
FINISHED |
| Object |
Donald
A Donald is a Scottish hill classification denoting summits in the Lowlands that are at least 2,000 feet high.
|
E1174842
|
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: Donald | Statement: [Loch Fell, category, Donald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Context triple: [Loch Fell, category, Donald]
-
A.
Donald
Donald is the given first name of American film producer Don Simpson, known for his work on blockbuster Hollywood movies in the 1980s and 1990s.
-
B.
Donald
Donald is the given first name of Don Drysdale, the Hall of Fame Major League Baseball pitcher known for his dominant career with the Los Angeles Dodgers.
-
C.
Donald
Donald is the given name of Lord Nicholls of Birkenhead, a prominent British judge and law lord known for his influential contributions to UK jurisprudence.
-
D.
Donald
Donald is the given first name of Don Hutson, a pioneering American football wide receiver widely regarded as one of the NFL’s earliest superstars.
-
E.
Donald
Donald is the given first name of American actor and singer Don Durant, known for his roles in mid-20th-century film and television.
- 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: Donald Triple: [Loch Fell, category, Donald]
Generated description
A Donald is a Scottish hill classification denoting summits in the Lowlands that are at least 2,000 feet high.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donald Target entity description: A Donald is a Scottish hill classification denoting summits in the Lowlands that are at least 2,000 feet high.
-
A.
Donald
chosen
Donald is a classification used in Scottish hillwalking to denote hills in the Scottish Lowlands over 2,000 feet in height.
-
B.
Donald
Donald is a mountain in the Scottish Highlands classified in the Donalds list of hills over 2,000 feet in southern Scotland.
-
C.
Donald
Donald is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
-
D.
Donald
Donald is a locality or feature associated with Glenrath Heights, likely recognized as a named place or landmark in that area.
-
E.
Donald
Donald is the given name of Lord Nicholls of Birkenhead, a prominent British judge and law lord known for his influential contributions to UK jurisprudence.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399d2fcc81909916302f141e236b |
completed | April 19, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e8cfd88190a105b778e5b9e864 |
completed | May 11, 2026, 7:10 a.m. |
| NEDg | Description generation | batch_6a0181c89e3081909b3acea495bb4d7f |
completed | May 11, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a018291cce48190897f0d0bcbae4d71 |
completed | May 11, 2026, 7:17 a.m. |
Created at: April 10, 2026, 5:43 a.m.