Triple
T16770947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erin Napier |
E407591
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object | Ben Napier |
E304809
|
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: Ben Napier | Statement: [Erin Napier, coAuthorWith, Ben Napier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Napier Context triple: [Erin Napier, coAuthorWith, Ben Napier]
-
A.
Ben Napier
chosen
Ben Napier is an American woodworker, entrepreneur, and television personality best known as the co-host of HGTV’s home-renovation series “Home Town.”
-
B.
Ed Blaney
Ed Blaney is a British musician best known as a later-period member and collaborator of the post-punk band The Fall.
-
C.
Ned McDodd
Ned McDodd is the well-meaning but overwhelmed mayor of Whoville in Dr. Seuss's "Horton Hears a Who!" and its film adaptation.
-
D.
John Briley
John Briley was an American screenwriter best known for his Academy Award-winning work on the film "Gandhi" and other politically charged dramas.
-
E.
Mark Brinkley
Mark Brinkley is a British writer and self-build expert best known for his practical guides on house construction and renovation.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b0361e5081908f58edf766ff3ce0 |
completed | April 18, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c2993f4c8190aecf29a4bcbf7b6a |
completed | May 10, 2026, 5:38 p.m. |
Created at: April 10, 2026, 5:21 a.m.