Triple
T14347626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guadalupe Rodríguez |
E355767
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | David Lopez |
E341627
|
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: David Lopez | Statement: [Guadalupe Rodríguez, spouse, David Lopez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Lopez Context triple: [Guadalupe Rodríguez, spouse, David Lopez]
-
A.
David Lopez
chosen
David Lopez is best known as the father of American singer, actress, and producer Jennifer Lopez.
-
B.
Luis Lopez
Luis Lopez is a film producer best known for his work on the acclaimed video game documentary "The King of Kong: A Fistful of Quarters."
-
C.
Tomas Lopez
Tomas Lopez was a historical figure known for founding the Colombian town of Chocontá.
-
D.
Roberto Reyes
Roberto Reyes is a Marvel Comics character who becomes the supernatural antihero Ghost Rider, known for driving a flaming muscle car instead of the traditional motorcycle.
-
E.
Hernan Lopez
Hernan Lopez is a media executive and producer best known as the founder and former CEO of Wondery, a major podcast network behind several hit narrative audio series.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e8b81bc8190ace2a575faf55cc0 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe967e9c208190a00a82122b8c884c |
completed | May 9, 2026, 2:05 a.m. |
Created at: April 10, 2026, 1:14 a.m.