Triple
T17145455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fernando Lopez |
E416079
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lopez |
E197855
|
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: Lopez | Statement: [Fernando Lopez, familyName, Lopez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lopez Context triple: [Fernando Lopez, familyName, Lopez]
-
A.
Lopez
Lopez is a municipality in the province of Quezon in the Philippines, known for its agricultural economy and coastal location.
-
B.
López
chosen
López is a common Spanish surname widely borne across Spain and Latin America.
-
C.
Vini Lopez
Vini Lopez is an American drummer best known as an original member of Bruce Springsteen's E Street Band, contributing to the group's early recordings and live performances.
-
D.
Danny Lopez
Danny Lopez is a former American professional boxer and world featherweight champion known for his formidable punching power and exciting, aggressive style in the ring.
-
E.
Geny Lopez
Geny Lopez was a prominent Filipino media executive best known for leading and expanding ABS-CBN into the Philippines’ largest broadcasting network.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2da515481909d19e421382eb755 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a014158ed8c8190adb3c03c8a114a59 |
completed | May 11, 2026, 2:39 a.m. |
Created at: April 10, 2026, 5:36 a.m.