Triple
T16048518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andy Hopper |
E389287
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Andy Hopper |
E389287
|
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: Andy Hopper | Statement: [Andy Hopper, name, Andy Hopper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Hopper Context triple: [Andy Hopper, name, Andy Hopper]
-
A.
Andy Hopper
chosen
Andy Hopper is a British computer scientist and entrepreneur known for his influential work in computer networking, systems research, and the founding of several technology companies.
-
B.
Sean Hopper
Sean Hopper is an American keyboardist best known as a longtime member of the rock band Huey Lewis and the News.
-
C.
Tim Hopper
Tim Hopper is an American stage and screen actor known for his long-standing work with Chicago’s Steppenwolf Theatre Company and appearances in film and television.
-
D.
Alex Hopper
Alex Hopper is the impulsive yet resourceful U.S. Navy officer who serves as the main human protagonist in the science fiction action film "Battleship."
-
E.
Rob Hopkin
Rob Hopkin is a television producer best known for creating the long-running BBC political debate programme "Question Time."
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e18360464881909fd4d3bcb4ffb7f5 |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f39008c819095ad8512eb119ee8 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 4:56 a.m.