Triple
T22756507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sprague Cleghorn |
E562857
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Harry |
—
|
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: Harry | Statement: [Sprague Cleghorn, givenName, Harry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Context triple: [Sprague Cleghorn, givenName, Harry]
-
A.
Harry
chosen
Harry is a masculine given name of English origin commonly used in many English-speaking countries.
-
B.
Harry
Harry is the given name of British Army officer Reginald Dyer, infamous for ordering the 1919 Jallianwala Bagh massacre in Amritsar, India.
-
C.
Harry
Harry is a central character in the Australian television drama series "The Newsreader," which follows the turbulent personal and professional lives of 1980s TV newsroom staff.
-
D.
Harry
Harry was a nuclear test detonation conducted by the United States as part of the 1953 Operation Upshot–Knothole series at the Nevada Test Site.
-
E.
Harry
Harry is the given name of Harry K. Thaw, the American millionaire best known for his 1906 murder of architect Stanford White in a scandalous crime of passion.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179bd22588190ac724a656194f5b9 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:25 p.m.