Triple
T22228619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George F. Will |
E549408
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Geoffrey Will |
—
|
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: Geoffrey Will | Statement: [George F. Will, hasChild, Geoffrey Will]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geoffrey Will Context triple: [George F. Will, hasChild, Geoffrey Will]
-
A.
Geoffrey Will
chosen
Geoffrey Will is the son of prominent American conservative political commentator and columnist George F. Will.
-
B.
Geoffrey Lawrence
Geoffrey Lawrence was a British judge best known for serving as the presiding judge at the Nuremberg war crimes trials after World War II.
-
C.
Geoffrey Unsworth
Geoffrey Unsworth was a renowned British cinematographer celebrated for his visually rich work on numerous classic films of the 1960s and 1970s.
-
D.
Geoffrey Gardner
Geoffrey Gardner is a sports administrator best known for his leadership role as a vice president within World Athletics, the international governing body for track and field.
-
E.
Geoffrey Hinchliffe
Geoffrey Hinchliffe is an actor best known for his role in the British film "Made in Britain."
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf0a03c8190ac4717cce902b2cd |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:37 p.m.