Triple
T8347802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Chadwick |
E196083
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | John Chadwick |
E196083
|
NE FINISHED |
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 Chadwick | Statement: [John Chadwick, name, John Chadwick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Chadwick Context triple: [John Chadwick, name, John Chadwick]
-
A.
John Chadwick
chosen
John Chadwick was a British linguist and classical scholar best known for helping to decipher the ancient Mycenaean Greek script known as Linear B.
-
B.
C. H. Dodd
C. H. Dodd was a prominent 20th-century British New Testament scholar and theologian known for his influential work on the Gospel of John, realized eschatology, and the historical interpretation of Christian doctrine.
-
C.
Raymond Priestley
Raymond Priestley was a British geologist and Antarctic explorer who later became a prominent academic and university administrator.
-
D.
Sir Alan Gardiner
Sir Alan Gardiner was a prominent British Egyptologist best known for his influential work on ancient Egyptian grammar and hieroglyphic decipherment.
-
E.
George S. Oppenheim
George S. Oppenheim was an American publisher best known as a founder of the influential publishing house Viking Press.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb801588e881908ac0a291280ac0f8 |
completed | March 31, 2026, 8:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc745f33c8190a043aff437874391 |
completed | April 2, 2026, 1:32 a.m. |
Created at: March 30, 2026, 5:58 p.m.