Triple
T869696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Muses |
E18781
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Thalia
Thalia is one of the nine Muses in Greek mythology, traditionally associated with comedy and pastoral poetry.
|
E102218
|
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: Thalia | Statement: [the Muses, member, Thalia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thalia Context triple: [the Muses, member, Thalia]
-
A.
Niña
Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
-
B.
Zella
Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
-
C.
Alexa Vega
Alexa Vega is an American actress and singer best known for playing Carmen Cortez in the Spy Kids film series.
-
D.
Mya
Mya is a central female character in the romantic comedy film "Think Like a Man," known for following Steve Harvey’s dating advice as she navigates modern relationships.
-
E.
Ella
Ella is a feminine given name most famously associated with legendary American jazz singer Ella Fitzgerald.
- 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: Thalia Triple: [the Muses, member, Thalia]
Generated description
Thalia is one of the nine Muses in Greek mythology, traditionally associated with comedy and pastoral poetry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thalia Target entity description: Thalia is one of the nine Muses in Greek mythology, traditionally associated with comedy and pastoral poetry.
-
A.
Niña
Niña was one of the three ships in Christopher Columbus’s 1492 voyage across the Atlantic, notable for its role in the first European expedition to the Americas.
-
B.
Zella
Zella is an activewear and athleisure clothing brand known for its performance-focused yet stylish designs, sold at Nordstrom.
-
C.
Alexa Vega
Alexa Vega is an American actress and singer best known for playing Carmen Cortez in the Spy Kids film series.
-
D.
Mya
Mya is a central female character in the romantic comedy film "Think Like a Man," known for following Steve Harvey’s dating advice as she navigates modern relationships.
-
E.
Ella
Ella is a feminine given name most famously associated with legendary American jazz singer Ella Fitzgerald.
- 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_69a4938ce8688190a24bdfef82ba7d21 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac811e548190a72b7a10b5ea8665 |
completed | March 1, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3cb9a648190981182add42325f3 |
completed | March 4, 2026, 3:15 a.m. |
| NEDg | Description generation | batch_69a7a558c1308190810a139ad24dfc9d |
completed | March 4, 2026, 3:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7a5e744188190ae30544753fb9399 |
completed | March 4, 2026, 3:24 a.m. |
Created at: March 1, 2026, 7:39 p.m.