Triple
T17189304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Bello |
E417185
|
entity |
| Predicate | notableInstrumentBrand |
P51141
|
FINISHED |
| Object |
ESP
ESP is a renowned Japanese guitar manufacturer known for its high-quality electric guitars and basses favored by many metal and rock musicians.
|
E1255667
|
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: ESP | Statement: [Frank Bello, notableInstrumentBrand, ESP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ESP Context triple: [Frank Bello, notableInstrumentBrand, ESP]
-
A.
ESP
ESP is the three-letter FIFA country code used to represent the Spain national football team in international competitions and official records.
-
B.
ESP
ESP (extrasensory perception) is the purported ability to gain information through means beyond the known physical senses, such as telepathy, clairvoyance, or precognition.
-
C.
ESP
ESP is the abbreviated name for Easy Software Products, a company known for developing printing and publishing software such as the Common UNIX Printing System (CUPS).
-
D.
ESP
ESP (Electronic Stability Program) is an active safety system in vehicles that helps maintain stability and prevent skidding by automatically adjusting braking and engine power.
-
E.
ES
ES is the vehicle registration code for the district of Esslingen in the Stuttgart region of Baden-Württemberg, Germany.
- 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: ESP Triple: [Frank Bello, notableInstrumentBrand, ESP]
Generated description
ESP is a renowned Japanese guitar manufacturer known for its high-quality electric guitars and basses favored by many metal and rock musicians.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ESP Target entity description: ESP is a renowned Japanese guitar manufacturer known for its high-quality electric guitars and basses favored by many metal and rock musicians.
-
A.
ESP
ESP is the three-letter FIFA country code used to represent the Spain national football team in international competitions and official records.
-
B.
ESP
ESP (extrasensory perception) is the purported ability to gain information through means beyond the known physical senses, such as telepathy, clairvoyance, or precognition.
-
C.
ESP
ESP is the abbreviated name for Easy Software Products, a company known for developing printing and publishing software such as the Common UNIX Printing System (CUPS).
-
D.
ESP
ESP (Electronic Stability Program) is an active safety system in vehicles that helps maintain stability and prevent skidding by automatically adjusting braking and engine power.
-
E.
ES
ES is the vehicle registration code for the district of Esslingen in the Stuttgart region of Baden-Württemberg, Germany.
- 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_69d886d6ba8c819093215917b3d01689 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42d986b60819085c515101cfe65fe |
completed | April 19, 2026, 1:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fd0e1448190a9c0eadc7a8a2f6a |
completed | May 11, 2026, 4:49 a.m. |
| NEDg | Description generation | batch_6a016193089081909d4093b99de4890b |
completed | May 11, 2026, 4:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01622d24d08190b9da770a31edcc5e |
completed | May 11, 2026, 4:59 a.m. |
Created at: April 10, 2026, 5:37 a.m.