Triple
T16107829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ray Peterson |
E390785
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Ray Peterson |
E390785
|
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: Ray Peterson | Statement: [Ray Peterson, fullName, Ray Peterson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ray Peterson Context triple: [Ray Peterson, fullName, Ray Peterson]
-
A.
Ray Peterson
chosen
Ray Peterson is the paranoid yet well-meaning suburban homeowner played by Tom Hanks in the dark comedy film "The 'Burbs."
-
B.
Dwight Hauser
Dwight Hauser was an American screenwriter and film producer known for his work on mid-20th-century family and adventure films, including several Disney nature and animal features.
-
C.
Phil Morrison
Phil Morrison is an American film and television director best known for his work on indie films like "Junebug" and various acclaimed music videos and commercials.
-
D.
Glen Bateman
Glen Bateman is a retired sociology professor and key survivor character in Stephen King's post-apocalyptic novel "The Stand," known for his analytical perspective on the collapse and rebuilding of society.
-
E.
Jeff Morrow
Jeff Morrow was an American actor best known for his roles in mid-20th-century films and television, particularly in biblical epics and science fiction movies.
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6e55c08190b77f344e4e8c42ad |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00077efdf48190ac26f433f6b17dbe |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5 a.m.