Triple
T11003239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Long-term Recurrent Convolutional Networks for Visual Recognition and Description |
E260050
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
LRCN
LRCN is a deep learning architecture that combines convolutional neural networks with recurrent neural networks to model and interpret visual sequences such as video and image descriptions.
|
E899022
|
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: LRCN | Statement: [Long-term Recurrent Convolutional Networks for Visual Recognition and Description, hasAbbreviation, LRCN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LRCN Context triple: [Long-term Recurrent Convolutional Networks for Visual Recognition and Description, hasAbbreviation, LRCN]
-
A.
LCN
LCN is the National Rail station code for Lincoln railway station in Lincoln, England.
-
B.
RCN
RCN is the commonly used abbreviation for the Research Council of Norway, the national body responsible for funding and promoting research and innovation in Norway.
-
C.
RCN
RCN is the abbreviation for the Royal Canadian Navy, the maritime warfare branch of Canada’s armed forces.
-
D.
LRCX
LRCX is the stock ticker symbol for Lam Research Corporation, a leading U.S.-based supplier of semiconductor manufacturing equipment.
-
E.
LCNC
LCNC is the ICAO airport code assigned to Nicosia International Airport in Cyprus.
- 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: LRCN Triple: [Long-term Recurrent Convolutional Networks for Visual Recognition and Description, hasAbbreviation, LRCN]
Generated description
LRCN is a deep learning architecture that combines convolutional neural networks with recurrent neural networks to model and interpret visual sequences such as video and image descriptions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LRCN Target entity description: LRCN is a deep learning architecture that combines convolutional neural networks with recurrent neural networks to model and interpret visual sequences such as video and image descriptions.
-
A.
LCN
LCN is the National Rail station code for Lincoln railway station in Lincoln, England.
-
B.
RCN
RCN is the commonly used abbreviation for the Research Council of Norway, the national body responsible for funding and promoting research and innovation in Norway.
-
C.
RCN
RCN is the abbreviation for the Royal Canadian Navy, the maritime warfare branch of Canada’s armed forces.
-
D.
LRCX
LRCX is the stock ticker symbol for Lam Research Corporation, a leading U.S.-based supplier of semiconductor manufacturing equipment.
-
E.
LCNC
LCNC is the ICAO airport code assigned to Nicosia International Airport in Cyprus.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797546f448190946ee6442d657dc5 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3453d181081908cb58a957f4d1295 |
completed | April 18, 2026, 8:47 a.m. |
| NEDg | Description generation | batch_69e35570b0bc8190a939b0c8e3ce8105 |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e359508a388190a16d48a17015e13e |
completed | April 18, 2026, 10:13 a.m. |
Created at: April 8, 2026, 9:25 p.m.