Triple
T7536338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Pogue |
E178160
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | David Pogue |
E178160
|
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 Pogue | Statement: [David Pogue, name, David Pogue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Pogue Context triple: [David Pogue, name, David Pogue]
-
A.
David Pogue
chosen
David Pogue is an American technology and science journalist, author, and television presenter known for his accessible explanations of consumer tech and scientific topics.
-
B.
David Pescovitz
David Pescovitz is a journalist and media innovator known for his work in technology, science, and culture, including his longtime role helping shape the influential online magazine Boing Boing.
-
C.
Michael Kaplan
Michael Kaplan is a composer and musician known for creating the music for the film "Burlesque."
-
D.
Brad Wilhite
Brad Wilhite is a film editor known for his work on major studio comedies, including the holiday sequel "Daddy's Home 2."
-
E.
John Battelle
John Battelle is an American entrepreneur, author, and media executive best known for co-founding Wired magazine and Federated Media Publishing and for his influential work chronicling and shaping the evolution of the internet industry.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84db0c48190b2b3d8c5f802f713 |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f0c02148190bb5f63cf9891ec0c |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.