Triple
T15769949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hart Fell |
E382324
|
entity |
| Predicate | hasListing |
P1278
|
FINISHED |
| Object |
Donald
Donald is a classification used in Scottish hillwalking to denote hills in the Scottish Lowlands over 2,000 feet in height.
|
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: [Hart Fell, hasListing, Donald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donald Context triple: [Hart Fell, hasListing, 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: [Hart Fell, hasListing, Donald]
Generated description
Donald is a classification used in Scottish hillwalking to denote hills in the Scottish Lowlands over 2,000 feet in height.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Donald Target entity description: Donald is a classification used in Scottish hillwalking to denote hills in the Scottish Lowlands over 2,000 feet in height.
-
A.
Donald
Donald is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
-
B.
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.
-
C.
Donald
Donald is the given name of Don Revie, the renowned English football player and manager best known for his successful tenure at Leeds United.
-
D.
Donald
Donald I of Scotland was a 9th-century king of the Picts who ruled over what is now Scotland.
-
E.
Donald
Donald is the given name of Sir Donald Bradman, the legendary Australian cricketer widely regarded as one of the greatest batsmen in the history of the sport.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e051962fe08190a6201dd48196a9ee |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff877a67008190b05f879d05876fd3 |
completed | May 9, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_69ff88430cb88190994039da4d3ce247 |
completed | May 9, 2026, 7:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff88aca9b08190ab2b687dd17d0845 |
completed | May 9, 2026, 7:19 p.m. |
Created at: April 10, 2026, 4:47 a.m.