Triple
T5080154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fire Emblem |
E114491
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object |
Lucina
Lucina is a central protagonist and time-traveling princess from the Fire Emblem series, best known for her masked identity "Marth" and pivotal role in Fire Emblem Awakening.
|
E492990
|
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: Lucina | Statement: [Fire Emblem, notableCharacter, Lucina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucina Context triple: [Fire Emblem, notableCharacter, Lucina]
-
A.
Lucina
Lucina is a woman known primarily as the mother of the Western Roman Emperor Anthemius.
-
B.
Lina
Lina is a Native American servant in Toni Morrison’s novel *A Mercy*, whose history of displacement and resilience reflects the novel’s themes of slavery, colonialism, and survival in 17th-century America.
-
C.
Lina
Lina Heydrich was the wife of high-ranking Nazi official Reinhard Heydrich and a committed supporter of National Socialism in Germany.
-
D.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
-
E.
Marisa
Marisa is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
- 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: Lucina Triple: [Fire Emblem, notableCharacter, Lucina]
Generated description
Lucina is a central protagonist and time-traveling princess from the Fire Emblem series, best known for her masked identity "Marth" and pivotal role in Fire Emblem Awakening.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lucina Target entity description: Lucina is a central protagonist and time-traveling princess from the Fire Emblem series, best known for her masked identity "Marth" and pivotal role in Fire Emblem Awakening.
-
A.
Lucina
Lucina is a woman known primarily as the mother of the Western Roman Emperor Anthemius.
-
B.
Lina
Lina is a Native American servant in Toni Morrison’s novel *A Mercy*, whose history of displacement and resilience reflects the novel’s themes of slavery, colonialism, and survival in 17th-century America.
-
C.
Lina
Lina Heydrich was the wife of high-ranking Nazi official Reinhard Heydrich and a committed supporter of National Socialism in Germany.
-
D.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
-
E.
Marisa
Marisa is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f86c988190aa026073ed435a45 |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb1303bc4819084e0270a8ff97aec |
completed | March 21, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69beb1dd68cc819080f5326972059995 |
completed | March 21, 2026, 2:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beb26a849c819096161ed3b4d30ec6 |
completed | March 21, 2026, 2:59 p.m. |
Created at: March 20, 2026, 1:39 p.m.