Triple
T12231745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sentry |
E291491
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Robert "Bob" Reynolds |
E529965
|
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: Robert "Bob" Reynolds | Statement: [Sentry, fullName, Robert "Bob" Reynolds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert "Bob" Reynolds Context triple: [Sentry, fullName, Robert "Bob" Reynolds]
-
A.
Robert Reynolds
chosen
Robert Reynolds is a common personal name shared by multiple notable individuals across fields such as entertainment, sports, and academia.
-
B.
Kevin Reynolds
Kevin Reynolds is an American film director best known for helming movies such as "Robin Hood: Prince of Thieves" and "Waterworld."
-
C.
Roger Reeves
Roger Reeves is an American worker best known as the plaintiff in the landmark U.S. Supreme Court age discrimination case Reeves v. Sanderson Plumbing Products, Inc.
-
D.
John Seitz
John Seitz was an American cinematographer renowned for his influential work in classic Hollywood cinema, particularly in film noir and science fiction.
-
E.
Mike Hurley
Mike Hurley is a Canadian politician and former firefighter who serves as the mayor of Burnaby, British Columbia.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91ca45bd48190b8b7f6b29b6bb25b |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e5e32908190a3c1e75ba336ad89 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:51 p.m.