Triple
T19614143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cielito Avanceña |
E470812
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cielito |
—
|
NE NERFINISHED |
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: Cielito | Statement: [Cielito Avanceña, givenName, Cielito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cielito Context triple: [Cielito Avanceña, givenName, Cielito]
-
A.
Cielito Avanceña
chosen
Cielito Avanceña is a Filipino businesswoman and media professional best known as the long-time partner of former Philippine president Rodrigo Duterte.
-
B.
Cielito Lindo
"Cielito Lindo" is a famous traditional Mexican folk song widely recognized for its cheerful melody and iconic "ay, ay, ay, ay" refrain.
-
C.
Blanquita
Blanquita is the namesake figure—likely an influential woman or performer—after whom Mexico City’s historic Teatro Blanquita was named.
-
D.
Naranjito
Naranjito is a town in Ecuador’s Guayas Province known for its agricultural activity, particularly in sugarcane and tropical fruit production.
-
E.
Naranjito
Naranjito is a municipality located in the central region of Puerto Rico, known for its mountainous terrain and agricultural traditions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640ce272481909688527f72d2c976 |
completed | April 20, 2026, 3:05 p.m. |
Created at: April 10, 2026, 1:43 p.m.