Triple
T14267524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Ferris |
E353686
|
entity |
| Predicate | basedOnWorkBy |
P2806
|
FINISHED |
| Object | David Ignatius |
E271305
|
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: David Ignatius | Statement: [Roger Ferris, basedOnWorkBy, David Ignatius]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Ignatius Context triple: [Roger Ferris, basedOnWorkBy, David Ignatius]
-
A.
David Ignatius
chosen
David Ignatius is an American journalist and novelist known for his espionage thrillers and long-running foreign affairs column in The Washington Post.
-
B.
Christopher Drew
Christopher Drew is a journalist and author known for co-writing works of investigative nonfiction, including a memoir about the discovery of the Titanic.
-
C.
Edward Luce
Edward Luce is a British journalist and author best known as a senior columnist and commentator on U.S. politics and global affairs for the Financial Times.
-
D.
Roger Gage
Roger Gage is a British stage director known for his work in theatre and for having been married to acclaimed actress Joan Plowright.
-
E.
Graeme Wood
Graeme Wood is an Australian entrepreneur best known as the founder of the online travel booking company Wotif.com.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6358c2288190ac1fd26e688a605d |
completed | April 14, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d16bae881909b38ccf04f1cf823 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:09 a.m.