Triple
T22462694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blenders Pride |
E555268
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | Royal Stag |
E555266
|
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: Royal Stag | Statement: [Blenders Pride, competitor, Royal Stag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Royal Stag Context triple: [Blenders Pride, competitor, Royal Stag]
-
A.
Royal Stag
chosen
Royal Stag is a popular Indian whisky brand known for its mass-market appeal and strong presence in the premium regular whisky segment.
-
B.
Martell
Martell is a historic French cognac house renowned as one of the oldest and most prestigious producers in the Cognac region.
-
C.
Martell
Martell is a prominent noble house from Dorne in George R. R. Martin’s A Song of Ice and Fire series, known for its principality, distinct customs, and resistance to conquest.
-
D.
Bulmer
Bulmer is a small village and civil parish in North Yorkshire, England, known for its rural character and historic setting within the Ryedale district.
-
E.
Carling
Carling is a major British beer brand known for its long-standing sponsorship of top-tier English football competitions and awards.
- 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_69e11e51fdec8190adfdf9f8a6362221 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b80983081908084947b2e31c9d4 |
completed | April 29, 2026, 1:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b17d6d0288190b0d8ca47d1485bf3 |
completed | May 18, 2026, 1:44 p.m. |
Created at: April 16, 2026, 8:48 p.m.