Triple
T12231744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sentry |
E291491
|
entity |
| Predicate | realName |
P9233
|
FINISHED |
| Object | Robert 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 Reynolds | Statement: [Sentry, realName, Robert Reynolds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Reynolds Context triple: [Sentry, realName, Robert 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.
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.
-
C.
Jeremy Reeves
Jeremy Reeves is an American songwriter and producer best known as a member of the Grammy-winning production team The Stereotypes, recognized for crafting hits for major pop and R&B artists.
-
D.
Michael Parks
Michael Parks was an American character actor known for his intense, versatile performances in film and television, including frequent collaborations with directors like Quentin Tarantino and Kevin Smith.
-
E.
Scott Reed
Scott Reed is a computer scientist and machine learning researcher known for his work on deep learning and generative models.
- 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_69f60aad2d488190ba36588e3376ca1a |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.