Triple
T14347600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emme Maribel Muñiz |
E355766
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | David López |
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 López | Statement: [Emme Maribel Muñiz, relative, David López]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David López Context triple: [Emme Maribel Muñiz, relative, David López]
-
A.
David Lopez
chosen
David Lopez is best known as the father of American singer, actress, and producer Jennifer Lopez.
-
B.
Cristo Fernández
Cristo Fernández is a Mexican actor and former professional footballer best known for playing the exuberant footballer Dani Rojas on the television series "Ted Lasso."
-
C.
Xavier Loyá
Xavier Loyá was a Mexican actor best known for his role in Luis Buñuel’s acclaimed surrealist film "The Exterminating Angel."
-
D.
Javier Molinero
Javier Molinero is a Spanish professional tennis player who has competed primarily on the ATP Challenger and ITF Futures circuits.
-
E.
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."
- 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_69fe387f28688190b9d20f1e2bbc0ddc |
completed | May 8, 2026, 7:24 p.m. |
Created at: April 10, 2026, 1:14 a.m.