Triple
T8274171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elbee the Shark |
E193499
|
entity |
| Predicate | nameContains |
P5298
|
FINISHED |
| Object |
Elbee
Elbee is a fictional shark character, often depicted as a friendly or mascot-like figure associated with the name "Elbee the Shark."
|
E723004
|
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: Elbee | Statement: [Elbee the Shark, nameContains, Elbee]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elbee Context triple: [Elbee the Shark, nameContains, Elbee]
-
A.
Beeline
Beeline is a command-line client for Apache Hive that allows users to connect to HiveServer2 and execute SQL queries against Hive data warehouses.
-
B.
Bubley
Bubley is the surname of Esther Bubley, an influential American photographer known for her documentary work in the mid-20th century.
-
C.
Beesel
Beesel is a small municipality and village in the Dutch province of Limburg, known for its rural character and traditional cultural events.
-
D.
Schmarbeck
Schmarbeck is a small watercourse in Lower Saxony, Germany, known as one of the minor streams feeding into the Örtze River within the Lüneburg Heath region.
-
E.
Erlich
Erlich is a variant spelling of the surname Ehrlich, which is of German origin and commonly associated with Jewish families.
- 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: Elbee Triple: [Elbee the Shark, nameContains, Elbee]
Generated description
Elbee is a fictional shark character, often depicted as a friendly or mascot-like figure associated with the name "Elbee the Shark."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elbee Target entity description: Elbee is a fictional shark character, often depicted as a friendly or mascot-like figure associated with the name "Elbee the Shark."
-
A.
Beeline
Beeline is a command-line client for Apache Hive that allows users to connect to HiveServer2 and execute SQL queries against Hive data warehouses.
-
B.
Bubley
Bubley is the surname of Esther Bubley, an influential American photographer known for her documentary work in the mid-20th century.
-
C.
Beesel
Beesel is a small municipality and village in the Dutch province of Limburg, known for its rural character and traditional cultural events.
-
D.
Schmarbeck
Schmarbeck is a small watercourse in Lower Saxony, Germany, known as one of the minor streams feeding into the Örtze River within the Lüneburg Heath region.
-
E.
Erlich
Erlich is a variant spelling of the surname Ehrlich, which is of German origin and commonly associated with Jewish families.
- 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_69ca82e14ae481908ffdb822cd2192bc |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb798a13388190a3610766d265a61f |
completed | March 31, 2026, 7:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd68502888819084bfe4621978711d |
completed | April 1, 2026, 6:47 p.m. |
| NEDg | Description generation | batch_69cd6c21172481908dc04b85ee4370a8 |
completed | April 1, 2026, 7:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7e0d1b8c8190b5183cc176432061 |
completed | April 1, 2026, 8:20 p.m. |
Created at: March 30, 2026, 5:50 p.m.