Triple
T2071781
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luisa |
E44829
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object |
Luisita
Luisita is a Spanish feminine given name, typically used as a diminutive or affectionate form of Luisa.
|
E231556
|
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: Luisita | Statement: [Luisa, hasDiminutive, Luisita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luisita Context triple: [Luisa, hasDiminutive, Luisita]
-
A.
Peñaflor
Peñaflor is a Chilean town and commune located in the outskirts of Santiago, known for its residential character and green areas.
-
B.
Enma Castro
Enma Castro is a member of the Castro family of Cuba, known primarily as a sister of revolutionary leaders Raúl and Fidel Castro.
-
C.
Mariquita
Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
-
D.
Amada Cruz
Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
-
E.
Francisca
Francisca is a feminine given name, used in various European and Latin American cultures, that is cognate with the English name Frances.
- 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: Luisita Triple: [Luisa, hasDiminutive, Luisita]
Generated description
Luisita is a Spanish feminine given name, typically used as a diminutive or affectionate form of Luisa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Luisita Target entity description: Luisita is a Spanish feminine given name, typically used as a diminutive or affectionate form of Luisa.
-
A.
Peñaflor
Peñaflor is a Chilean town and commune located in the outskirts of Santiago, known for its residential character and green areas.
-
B.
Enma Castro
Enma Castro is a member of the Castro family of Cuba, known primarily as a sister of revolutionary leaders Raúl and Fidel Castro.
-
C.
Mariquita
Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
-
D.
Amada Cruz
Amada Cruz is an American museum director and arts administrator known for leading major art institutions, including serving as director of the Seattle Art Museum.
-
E.
Francisca
Francisca is a feminine given name, used in various European and Latin American cultures, that is cognate with the English name Frances.
- 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_69a88916c2b48190a5ca2e9b12cad3ed |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba0d20bc8190b19a32157f8b1607 |
completed | March 7, 2026, 5:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae272bd51881909b7da12925195417 |
completed | March 9, 2026, 1:49 a.m. |
| NEDg | Description generation | batch_69ae28e6d8fc8190b5c0215607214b41 |
completed | March 9, 2026, 1:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae29556978819082f771e0723c4f0b |
completed | March 9, 2026, 1:58 a.m. |
Created at: March 4, 2026, 7:41 p.m.