Triple
T19866536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Moore (physician and writer) |
E477405
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | John |
—
|
NE NERFINISHED |
How this triple was built (2 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 Moore (physician and writer), hasGivenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Moore (physician and writer), hasGivenName, John]
-
A.
John
John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
-
B.
John
chosen
John is the given name of John Hays Hammond Jr., an American inventor known for his pioneering work in radio control and naval weaponry.
-
C.
John
John is a recurring comedic character from the British sketch show "A Bit of Fry & Laurie," portrayed in the series' distinctive absurd and witty style.
-
D.
John
John Manners, Marquess of Granby, was an 18th-century British soldier and popular military leader renowned for his service in the Seven Years' War and his enduring legacy in English pub names.
-
E.
John
John Braham was a renowned 19th-century English tenor celebrated for his powerful voice and influential operatic career.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6589f9654819080597a4f7c52d64c |
completed | April 20, 2026, 4:47 p.m. |
Created at: April 10, 2026, 1:51 p.m.