Triple
T11307398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordi |
E267750
|
entity |
| Predicate | hasSingle |
P3282
|
FINISHED |
| Object | Remedy |
E760991
|
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: Remedy | Statement: [Jordi, hasSingle, Remedy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Remedy Context triple: [Jordi, hasSingle, Remedy]
-
A.
Remedy
chosen
"Remedy" is a song featured as a track on the album associated with the given context.
-
B.
Remedy Entertainment
Remedy Entertainment is a Finnish video game developer best known for story-driven action titles such as Max Payne, Alan Wake, and Control.
-
C.
Painkiller
Painkiller is a drama miniseries that explores the origins and impact of the U.S. opioid crisis, focusing on the role of Purdue Pharma and OxyContin.
-
D.
Havoc
Havoc is an American rapper and record producer best known as one half of the influential hip-hop duo Mobb Deep.
-
E.
Havoc
Havoc is a 2005 crime drama film about affluent suburban teenagers who become entangled in Los Angeles gang culture.
- 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_69d6aaca5c24819083db46a30d86cb34 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9bf87d88190904c2d174578ebbf |
completed | April 9, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e50a62ceec8190af25edf44c5fc1e9 |
completed | April 19, 2026, 5:01 p.m. |
Created at: April 8, 2026, 9:32 p.m.