Triple
T14665828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eugenio Lopez Sr. |
E344369
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Fernando Lopez |
E416079
|
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: Fernando Lopez | Statement: [Eugenio Lopez Sr., sibling, Fernando Lopez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fernando Lopez Context triple: [Eugenio Lopez Sr., sibling, Fernando Lopez]
-
A.
Fernando Lopez
chosen
Fernando Lopez was a Filipino politician and businessman who served multiple terms as Vice President of the Philippines in the mid-20th century.
-
B.
Sergio Navarro
Sergio Navarro is a relatively obscure individual whose primary public mention is as a notable bearer of the surname Navarro.
-
C.
Juan de Marcos González
Juan de Marcos González is a Cuban bandleader, musician, and producer best known as a key architect of the Buena Vista Social Club project and a prominent promoter of traditional Cuban music worldwide.
-
D.
Pablo González
Pablo González is an editor known for his work on the film "Tideland."
-
E.
Fernando Cano
Fernando Cano is a member of the historically notable Cano family, a lineage recognized for its enduring social and cultural influence.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb54c69f8819080a37161deecfba8 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde177ced48190a448cbee1f4c75bf |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:27 a.m.