Triple
T19831210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Louis Emil Dreyer |
E476464
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of John Louis Emil Dreyer, the Danish-Irish astronomer best known for compiling the New General Catalogue (NGC) of deep-sky objects.
|
E1398563
|
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 | Statement: [John Louis Emil Dreyer, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Louis Emil Dreyer, givenName, John]
-
A.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
B.
John
John is the given name of John Albert William Spencer-Churchill, a British aristocrat and 10th Duke of Marlborough.
-
C.
John
John is the middle name of Samuel John Mills, an American Congregationalist minister known for his role in early 19th-century missionary movements.
-
D.
John
John is the given name of the English jurist and scholar John Selden, a prominent 17th-century authority on law and constitutional history.
-
E.
John
John is the given first name of Australian actor Chips Rafferty, a prominent figure in mid-20th-century Australian cinema.
- 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 Triple: [John Louis Emil Dreyer, givenName, John]
Generated description
John is the given name of John Louis Emil Dreyer, the Danish-Irish astronomer best known for compiling the New General Catalogue (NGC) of deep-sky objects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of John Louis Emil Dreyer, the Danish-Irish astronomer best known for compiling the New General Catalogue (NGC) of deep-sky objects.
-
A.
John
John is the given name of John Goodricke, an 18th-century English astronomer known for his pioneering work on variable stars.
-
B.
John
John is the given name of John Couch Adams, the 19th-century English mathematician and astronomer who co-predicted the existence and position of the planet Neptune.
-
C.
John
John is the given name of John Dee, the 16th-century English mathematician, astronomer, and advisor to Queen Elizabeth I known for his work in alchemy and the occult.
-
D.
John
John is the given name of John Thomas Romney Robinson, a 19th-century Irish astronomer and physicist known for his work on stellar magnitudes and the Robinson anemometer.
-
E.
John
John is the given name of John Graunt, a 17th-century English statistician and demographer known for pioneering work in population statistics.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656ce68b48190aa25b29d0b6ea021 |
completed | April 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d43477388190ba38827620f76257 |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d4e943b081909f98c72683d62e62 |
completed | May 16, 2026, 2:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d5bc8e748190a4f97e6b23e56edd |
completed | May 16, 2026, 2:26 a.m. |
Created at: April 10, 2026, 1:50 p.m.