Triple
T17910631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystal Gems |
E447808
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object |
Aquamarine
Aquamarine is a small, high-ranking Homeworld Gem from *Steven Universe* known for her cold, condescending demeanor and ruthless efficiency in carrying out missions against the Crystal Gems.
|
E1295789
|
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: Aquamarine | Statement: [Crystal Gems, enemy, Aquamarine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aquamarine Context triple: [Crystal Gems, enemy, Aquamarine]
-
A.
Aquamarine
Aquamarine is a blue to blue-green variety of the mineral beryl, prized as a gemstone for its clear, sea-colored appearance.
-
B.
Aquamarine
Aquamarine is a 2006 teen fantasy romantic comedy film about two best friends who discover a mermaid in a swimming pool.
-
C.
Sapphire
Sapphire is an American author best known for her novel "Push," which was adapted into the acclaimed film "Precious."
-
D.
Sapphire
Sapphire is a 1959 British crime drama film that explores racial tensions and prejudice in London through the investigation of a young woman's murder.
-
E.
Sapphire
Sapphire is a precious gemstone variety of the mineral corundum, typically blue, valued for its hardness, brilliance, and use in fine jewelry and industrial applications.
- 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: Aquamarine Triple: [Crystal Gems, enemy, Aquamarine]
Generated description
Aquamarine is a small, high-ranking Homeworld Gem from *Steven Universe* known for her cold, condescending demeanor and ruthless efficiency in carrying out missions against the Crystal Gems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aquamarine Target entity description: Aquamarine is a small, high-ranking Homeworld Gem from *Steven Universe* known for her cold, condescending demeanor and ruthless efficiency in carrying out missions against the Crystal Gems.
-
A.
Aquamarine
Aquamarine is a blue to blue-green variety of the mineral beryl, prized as a gemstone for its clear, sea-colored appearance.
-
B.
Aquamarine
Aquamarine is a 2006 teen fantasy romantic comedy film about two best friends who discover a mermaid in a swimming pool.
-
C.
Sapphire
Sapphire is an American author best known for her novel "Push," which was adapted into the acclaimed film "Precious."
-
D.
Sapphire
Sapphire is a 1959 British crime drama film that explores racial tensions and prejudice in London through the investigation of a young woman's murder.
-
E.
Sapphire
Sapphire is a precious gemstone variety of the mineral corundum, typically blue, valued for its hardness, brilliance, and use in fine jewelry and industrial applications.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49ea017d081908be850a39edf601f |
completed | April 19, 2026, 9:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b3037b0819092e1212feb73e29d |
completed | May 12, 2026, 12:21 p.m. |
| NEDg | Description generation | batch_6a031d020c288190bd98296c22789a31 |
completed | May 12, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a031d99005c8190a5af9906a8e67765 |
completed | May 12, 2026, 12:31 p.m. |
Created at: April 10, 2026, 10:19 a.m.