Triple
T10682164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RoboCop |
E251783
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Peter Weller |
E133943
|
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: Peter Weller | Statement: [RoboCop, castMember, Peter Weller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Weller Context triple: [RoboCop, castMember, Peter Weller]
-
A.
Peter Weller
chosen
Peter Weller is an American actor and director best known for his iconic role as the title character in the "RoboCop" films and for numerous appearances in science fiction and television.
-
B.
Tim Matheson
Tim Matheson is an American actor and director best known for his roles in films like "National Lampoon's Animal House" and numerous television series.
-
C.
Michael Biehn
Michael Biehn is an American actor best known for his roles in science fiction and action films such as The Terminator, Aliens, and The Abyss.
-
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.
Jason Beghe
Jason Beghe is an American actor best known for his role as tough, gravel-voiced Sergeant Hank Voight in the television series "Chicago P.D."
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc30be481909922844b539b622d |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de225f57948190aaf2954bce91f752 |
completed | April 14, 2026, 11:17 a.m. |
Created at: April 8, 2026, 9:10 p.m.