Triple
T17248355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devs |
E418684
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Jake Roberts |
—
|
NE NERFINISHED |
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: Jake Roberts | Statement: [Devs, editor, Jake Roberts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jake Roberts Context triple: [Devs, editor, Jake Roberts]
-
A.
Jake Roberts
chosen
Jake Roberts is a film editor known for his work on major feature films, including the 2024 movie "Civil War."
-
B.
Jake Roberts
Jake Roberts is a legendary professional wrestler best known for his sinister "Snake" persona, psychological mind games, and influential run in the WWF during the 1980s and early 1990s.
-
C.
Jason Roberts
Jason Roberts is an independent game designer best known for creating the critically acclaimed puzzle game Gorogoa.
-
D.
Jake Robinson
Jake Robinson is an American actor best known for his role in the television drama series "American Odyssey."
-
E.
Richie Roberts
Richie Roberts is a real-life New Jersey detective and prosecutor best known for his role in bringing down drug lord Frank Lucas, a story dramatized in the film "American Gangster."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e2569c081908ffd3ee9c76bcc17 |
completed | April 19, 2026, 1:21 a.m. |
Created at: April 10, 2026, 5:39 a.m.