Triple
T11402349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna Encinas Cruz |
E270143
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Luna |
E530088
|
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 | Statement: [Luna Encinas Cruz, givenName, Luna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luna Context triple: [Luna Encinas Cruz, givenName, Luna]
-
A.
Luna
Luna is the natural satellite of Earth, renowned for its phases, influence on tides, and prominence in human culture and mythology.
-
B.
Luna
chosen
Luna is a Spanish surname most prominently associated with Mexican actor and filmmaker Diego Luna.
-
C.
Luna
Luna is the protagonist of the game "Lunar: The Silver Star," a classic Japanese role-playing game known for its character-driven story and fantasy adventure.
-
D.
Luna
Luna is the live wolf mascot that represents the University of Nevada's Wolf Pack football program.
-
E.
Luna
Luna is a magical flying jaquin who serves as one of Princess Elena’s loyal animal companions in the animated series "Elena of Avalor."
- 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_69e5b834cee48190ac09c1e1df4c12d0 |
completed | April 20, 2026, 5:23 a.m. |
Created at: April 8, 2026, 9:34 p.m.