Triple
T5775708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George F. Will |
E127434
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
David Will
David Will is the son of prominent American conservative political commentator and columnist George F. Will.
|
E546412
|
NE FINISHED |
How this triple was built (4 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 Will | Statement: [George F. Will, hasChild, David Will]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Will Context triple: [George F. Will, hasChild, David Will]
-
A.
Jonathan Will
Jonathan Will is known as the son of prominent American conservative political commentator and columnist George F. Will.
-
B.
Dan Talbot
Dan Talbot was an influential American film distributor and exhibitor known for championing foreign and independent cinema in the United States.
-
C.
David Brian
David Brian was an American film and television actor known for his roles in mid-20th-century Hollywood dramas and crime films.
-
D.
David Denman
David Denman is an American actor best known for his role as Roy Anderson on the U.S. version of "The Office" and for supporting performances in films and television series across comedy and drama.
-
E.
David Barclay
David Barclay was a British billionaire businessman and one of the reclusive Barclay brothers, known for co-owning the Telegraph Media Group and various other high-profile assets.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: David Will Triple: [George F. Will, hasChild, David Will]
Generated description
David Will is the son of prominent American conservative political commentator and columnist George F. Will.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Will Target entity description: David Will is the son of prominent American conservative political commentator and columnist George F. Will.
-
A.
Jonathan Will
Jonathan Will is known as the son of prominent American conservative political commentator and columnist George F. Will.
-
B.
Dan Talbot
Dan Talbot was an influential American film distributor and exhibitor known for championing foreign and independent cinema in the United States.
-
C.
David Brian
David Brian was an American film and television actor known for his roles in mid-20th-century Hollywood dramas and crime films.
-
D.
David Denman
David Denman is an American actor best known for his role as Roy Anderson on the U.S. version of "The Office" and for supporting performances in films and television series across comedy and drama.
-
E.
David Barclay
David Barclay was a British billionaire businessman and one of the reclusive Barclay brothers, known for co-owning the Telegraph Media Group and various other high-profile assets.
- F. None of above. chosen
Provenance (5 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029de3bb4819087a6f3e920e12990 |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c09809cfcc8190b4d55db4b74316c7 |
completed | March 23, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69c09882e3188190a24199e5bcc7e76f |
completed | March 23, 2026, 1:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0991cdc9c81908ef92c3dbfe4276a |
completed | March 23, 2026, 1:36 a.m. |
Created at: March 22, 2026, 3:50 p.m.