Triple
T22228617
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George F. Will |
E549408
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Jonathan 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: Jonathan Will | Statement: [George F. Will, hasChild, Jonathan Will]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Will Context triple: [George F. Will, hasChild, Jonathan Will]
-
A.
Jonathan Will
chosen
Jonathan Will is known as the son of prominent American conservative political commentator and columnist George F. Will.
-
B.
Chris Willingham
Chris Willingham is a film editor best known for his work on the horror sequel "Final Destination 3."
-
C.
Jonathan Speirs
Jonathan Speirs was a renowned Scottish architectural lighting designer known for co-founding influential lighting design practices and shaping the illumination of landmark buildings worldwide.
-
D.
David Will
David Will is the son of prominent American conservative political commentator and columnist George F. Will.
-
E.
Nick Willis
Nick Willis is a New Zealand middle-distance runner best known for his Olympic medals in the 1500 metres and long-standing national records.
- 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.