Triple
T11402348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna Encinas Cruz |
E270143
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Luna Encinas Cruz |
E270143
|
NE FINISHED |
How this triple was built (2 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: Luna Encinas Cruz | Statement: [Luna Encinas Cruz, name, Luna Encinas Cruz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luna Encinas Cruz Context triple: [Luna Encinas Cruz, name, Luna Encinas Cruz]
-
A.
Luna Encinas Cruz
chosen
Luna Encinas Cruz is the daughter of Spanish actors Javier Bardem and Penélope Cruz.
-
B.
Lola Salazar
Lola Salazar is a fictional character appearing in the narrative of *The Wolf Song*.
-
C.
Victoria Villarruel
Victoria Villarruel is an Argentine lawyer and politician known for her conservative stance on human rights issues and for serving as the country’s vice president alongside President Javier Milei.
-
D.
Catalina Cortés
Catalina Cortés was a daughter of the Spanish conquistador Hernán Cortés, associated with the lineage of one of the most influential figures in the conquest of the Aztec Empire.
-
E.
Elizabeth Avellán
Elizabeth Avellán is a Venezuelan-American film producer known for co-founding Troublemaker Studios and producing many of Robert Rodriguez’s films.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aacdbc6c8190af6dc3d5f5d22836 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d80148e2048190a716b515d78efdd1 |
completed | April 9, 2026, 7:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef8201715c819090cbd7c1e3068bdd |
completed | April 27, 2026, 3:34 p.m. |
Created at: April 8, 2026, 9:34 p.m.