Triple
T7099922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jovian satellite system |
E165430
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Thebe
Thebe is a small inner moon of Jupiter that orbits close to the planet and helps form part of its faint ring system.
|
E642759
|
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: Thebe | Statement: [Jovian satellite system, hasMember, Thebe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thebe Context triple: [Jovian satellite system, hasMember, Thebe]
-
A.
Tirzah
Tirzah was an ancient city in the northern Kingdom of Israel that served as an early royal residence and political center before the capital moved to Samaria.
-
B.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
C.
Tamyen
Tamyen is an extinct Ohlone (Costanoan) Native American language once spoken in the Santa Clara Valley region of California.
-
D.
Maatkare
Maatkare was the throne name of the ancient Egyptian pharaoh Hatshepsut, one of the most powerful and prominent female rulers of the New Kingdom.
-
E.
Thena
Thena is a key character in Ta-Nehisi Coates’s novel "The Water Dancer," serving as a powerful figure within the story’s exploration of slavery, memory, and resistance.
- 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: Thebe Triple: [Jovian satellite system, hasMember, Thebe]
Generated description
Thebe is a small inner moon of Jupiter that orbits close to the planet and helps form part of its faint ring system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thebe Target entity description: Thebe is a small inner moon of Jupiter that orbits close to the planet and helps form part of its faint ring system.
-
A.
Tirzah
Tirzah was an ancient city in the northern Kingdom of Israel that served as an early royal residence and political center before the capital moved to Samaria.
-
B.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
C.
Tamyen
Tamyen is an extinct Ohlone (Costanoan) Native American language once spoken in the Santa Clara Valley region of California.
-
D.
Maatkare
Maatkare was the throne name of the ancient Egyptian pharaoh Hatshepsut, one of the most powerful and prominent female rulers of the New Kingdom.
-
E.
Thena
Thena is a key character in Ta-Nehisi Coates’s novel "The Water Dancer," serving as a powerful figure within the story’s exploration of slavery, memory, and resistance.
- 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_69c6887fcddc8190a5d58908f6dee590 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e58531c88190a32746f9a97da709 |
completed | March 27, 2026, 8:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79ca6236c81908a7051bd00d0ca90 |
completed | March 28, 2026, 9:17 a.m. |
| NEDg | Description generation | batch_69c79eb0d2cc8190a7f09708d8fa8cc0 |
completed | March 28, 2026, 9:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c79f2d85388190b17dc918da7ae357 |
completed | March 28, 2026, 9:28 a.m. |
Created at: March 27, 2026, 2:42 p.m.