Triple
T18065652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IRN-BRU |
E432285
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object |
Iron Brew
Iron Brew is the original name of IRN-BRU, a famous Scottish carbonated soft drink known for its bright orange color and unique, fruity flavor.
|
E1303528
|
NE FINISHED |
How this triple was built (4 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: Iron Brew | Statement: [IRN-BRU, originalName, Iron Brew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iron Brew Context triple: [IRN-BRU, originalName, Iron Brew]
-
A.
Strange Brew
Strange Brew is a 1983 Canadian comedy film featuring the characters Bob and Doug McKenzie from SCTV, known for its offbeat humor and cult following.
-
B.
Bitter Grounds
"Bitter Grounds" is a dark, atmospheric short story by Neil Gaiman that blends voodoo, identity, and the supernatural in a haunting tale of personal escape and transformation.
-
C.
Perfect Pint
Perfect Pint is a short film segment featured within the 2017 Tamil anthology movie "Ransom 2."
-
D.
Mighty Wine
Mighty Wine is a track from Wizkid’s acclaimed Afrobeats album "Made in Lagos."
-
E.
From Beer to Eternity
From Beer to Eternity is a 2013 industrial metal album by the American band Ministry, known for its aggressive sound and politically charged themes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Iron Brew Triple: [IRN-BRU, originalName, Iron Brew]
Generated description
Iron Brew is the original name of IRN-BRU, a famous Scottish carbonated soft drink known for its bright orange color and unique, fruity flavor.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iron Brew Target entity description: Iron Brew is the original name of IRN-BRU, a famous Scottish carbonated soft drink known for its bright orange color and unique, fruity flavor.
-
A.
Strange Brew
Strange Brew is a 1983 Canadian comedy film featuring the characters Bob and Doug McKenzie from SCTV, known for its offbeat humor and cult following.
-
B.
Bitter Grounds
"Bitter Grounds" is a dark, atmospheric short story by Neil Gaiman that blends voodoo, identity, and the supernatural in a haunting tale of personal escape and transformation.
-
C.
Perfect Pint
Perfect Pint is a short film segment featured within the 2017 Tamil anthology movie "Ransom 2."
-
D.
Mighty Wine
Mighty Wine is a track from Wizkid’s acclaimed Afrobeats album "Made in Lagos."
-
E.
From Beer to Eternity
From Beer to Eternity is a 2013 industrial metal album by the American band Ministry, known for its aggressive sound and politically charged themes.
- F. None of above. chosen
Provenance (5 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cce81de88190bd94d4ccee3e180c |
completed | April 19, 2026, 12:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035670159081909bc8c626318253a2 |
completed | May 12, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_6a03576c04e881908f76694f053d709a |
completed | May 12, 2026, 4:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0357f78a7c819083d57f330083698e |
completed | May 12, 2026, 4:40 p.m. |
Created at: April 10, 2026, 10:26 a.m.