Triple
T7441389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauren Sánchez |
E171761
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Nikko Gonzalez |
E653316
|
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: Nikko Gonzalez | Statement: [Lauren Sánchez, hasChild, Nikko Gonzalez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nikko Gonzalez Context triple: [Lauren Sánchez, hasChild, Nikko Gonzalez]
-
A.
Doneen Arquines
Doneen Arquines is a television producer best known for serving as an executive producer on the acclaimed culinary competition series "Top Chef."
-
B.
Nico Aguilar
Nico Aguilar is a cinematographer known for his work on the feature film "Fool's Paradise."
-
C.
Rey Robles
Rey Robles is a character in Don DeLillo’s novel *The Body Artist*, involved in the story’s exploration of identity, memory, and the uncanny.
-
D.
Nicholas Gonzalez
chosen
Nicholas Gonzalez is an American actor best known for his role as Dr. Neil Melendez on the television series "The Good Doctor."
-
E.
Michael De Guzman
Michael De Guzman is an American screenwriter best known for his work on the film "Jaws: The Revenge" and various television movies and 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_69c68a64228c8190affaec2a8127ce7b |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f36b9a3c81908abcc2a64d3e6061 |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827976b9081909ac722b397ae0d97 |
completed | March 28, 2026, 7:10 p.m. |
Created at: March 27, 2026, 3:13 p.m.