Triple
T2455786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irving family of early 19th-century New York |
E54417
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Peter Irving |
E34097
|
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: Peter Irving | Statement: [Irving family of early 19th-century New York, hasChild, Peter Irving]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Irving Context triple: [Irving family of early 19th-century New York, hasChild, Peter Irving]
-
A.
Peter Irving
chosen
Peter Irving was an American lawyer and writer best known as the brother and occasional literary collaborator of author Washington Irving.
-
B.
Josh Irving
Josh Irving is the son of American novelist Clifford Irving, who gained notoriety for his infamous hoax autobiography of Howard Hughes.
-
C.
Murray Costello
Murray Costello is a Canadian former ice hockey executive and physician best known for his influential leadership in Hockey Canada and international hockey development.
-
D.
Frank Richard Wells
Frank Richard Wells was a son of the famed English writer H. G. Wells.
-
E.
Peter Mathieson
Peter Mathieson is a British nephrologist and academic leader who has served as principal and vice-chancellor of major universities, including the University of Edinburgh and the University of Hong Kong.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd105054c819081286729749a347c |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aef0ca655c81908612983ced5f5786 |
completed | March 9, 2026, 4:09 p.m. |
Created at: March 6, 2026, 9:44 p.m.