Triple
T11466140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WALL·E (film score) |
E271783
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
BNL
BNL is a track from the WALL·E film score, associated with the fictional megacorporation Buy n Large featured prominently in the movie.
|
E928020
|
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: BNL | Statement: [WALL·E (film score), hasTrack, BNL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BNL Context triple: [WALL·E (film score), hasTrack, BNL]
-
A.
BNL
BNL is a public high school in Bedford, Indiana, known for its academic programs and competitive athletics, particularly in basketball.
-
B.
BNL E852
BNL E852 was a high-energy physics experiment at Brookhaven National Laboratory focused on studying meson spectroscopy and exotic hadronic states using a high-intensity pion beam.
-
C.
BNX
BNX is the IATA airport code for Banja Luka International Airport in Bosnia and Herzegovina.
-
D.
BNP
BNP is the stock ticker symbol for BNP Paribas, a major French international banking and financial services group.
-
E.
BNP
BNP is the National Rail station code assigned to Barnstaple railway station in Devon, England.
- 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: BNL Triple: [WALL·E (film score), hasTrack, BNL]
Generated description
BNL is a track from the WALL·E film score, associated with the fictional megacorporation Buy n Large featured prominently in the movie.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: BNL Target entity description: BNL is a track from the WALL·E film score, associated with the fictional megacorporation Buy n Large featured prominently in the movie.
-
A.
BNL
BNL is a public high school in Bedford, Indiana, known for its academic programs and competitive athletics, particularly in basketball.
-
B.
BNL E852
BNL E852 was a high-energy physics experiment at Brookhaven National Laboratory focused on studying meson spectroscopy and exotic hadronic states using a high-intensity pion beam.
-
C.
BNX
BNX is the IATA airport code for Banja Luka International Airport in Bosnia and Herzegovina.
-
D.
BNP
BNP is the stock ticker symbol for BNP Paribas, a major French international banking and financial services group.
-
E.
BNP
BNP is the National Rail station code assigned to Barnstaple railway station in Devon, England.
- 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_69d6aae0c8d881908a5a360c0be3242e |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f5eb988190b309b8e309f6d1a5 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e9377ff4819096971a77e0181eaf |
completed | April 20, 2026, 8:52 a.m. |
| NEDg | Description generation | batch_69e5f1593c2c8190885f80ad5eeba3ec |
completed | April 20, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f87bbd988190ac388a3c34b2e95a |
completed | April 20, 2026, 9:57 a.m. |
Created at: April 8, 2026, 9:35 p.m.