Triple
T17016991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jinggoy Estrada |
E412845
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Jel Ejercito |
E412846
|
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: Jel Ejercito | Statement: [Jinggoy Estrada, hasChild, Jel Ejercito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jel Ejercito Context triple: [Jinggoy Estrada, hasChild, Jel Ejercito]
-
A.
Mariscal
Mariscal is a Spanish surname most notably associated with designer and illustrator Javier Mariscal, known for his influential work in graphic design and visual art.
-
B.
Gavarra
Gavarra is a metro station in the Barcelona metropolitan area served by line 5 of the Barcelona Metro network.
-
C.
Ejercito
Ejercito is the Filipino family name of Joseph "Erap" Estrada, a prominent actor-turned-politician and former President of the Philippines.
-
D.
Bato
Bato is a coastal municipality on the island province of Catanduanes in the Bicol Region of the Philippines, known for its rural landscapes and proximity to the Pacific Ocean.
-
E.
JV Ejercito
chosen
JV Ejercito is a Filipino politician and former senator known for his work on infrastructure and public transportation legislation.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47fec248190bf261cac920291b1 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b4ba2a88190a49d355836ff1dcf |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:33 a.m.