Triple
T12674921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonel John Parry |
E302780
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of Colonel John Parry, a fictional explorer and father of Lyra Belacqua in Philip Pullman’s "His Dark Materials" series.
|
E996994
|
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: [Colonel John Parry, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [Colonel John Parry, givenName, John]
-
A.
John
John is the given name of John J. Pershing, the famed American general who led the American Expeditionary Forces in World War I.
-
B.
John
John is the given name of John W. Mauchly, the American physicist and co-inventor of the ENIAC computer.
-
C.
John
John is the first name of Johnny Evers, a Hall of Fame American Major League Baseball second baseman who starred for the Chicago Cubs in the early 20th century.
-
D.
John
John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
-
E.
John
John McDowell is a prominent South African-born philosopher known for his influential work in epistemology, philosophy of mind, and ethics.
- 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: [Colonel John Parry, givenName, John]
Generated description
John is the given name of Colonel John Parry, a fictional explorer and father of Lyra Belacqua in Philip Pullman’s "His Dark Materials" series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of Colonel John Parry, a fictional explorer and father of Lyra Belacqua in Philip Pullman’s "His Dark Materials" series.
-
A.
John
John is an alternative given name used by the character Jake Chambers, a central figure in Stephen King’s The Dark Tower series.
-
B.
John
John is the given name of Edward John Eyre, a 19th-century British explorer and colonial administrator known for his expeditions in Australia and controversial governorship in Jamaica.
-
C.
John
John is the given name of the fictional character Trapper John McIntyre from the M*A*S*H franchise.
-
D.
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.
-
E.
John
John is the given name of the British Royal Navy officer and Arctic explorer Sir John Franklin, known for his ill-fated 1845 expedition to find the Northwest Passage.
- 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_69d7bdee64a08190801c6d470aefd723 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961af991c8190b6079cb57e593b8f |
completed | April 10, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67190a20c8190918b465b67d25869 |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f6735b3de08190ab4665206fe71eb4 |
completed | May 2, 2026, 9:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6745a5c148190a76753fdb699706a |
completed | May 2, 2026, 10:02 p.m. |
Created at: April 9, 2026, 5:20 p.m.