Triple
T16156794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leilani Sarelle |
E392064
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Rafi Ferrer |
E636597
|
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: Rafi Ferrer | Statement: [Leilani Sarelle, hasChild, Rafi Ferrer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rafi Ferrer Context triple: [Leilani Sarelle, hasChild, Rafi Ferrer]
-
A.
Ricardo Ferrer
Ricardo Ferrer is a television creator and producer best known for developing the sitcom "The Steve Harvey Show."
-
B.
Ferrer
chosen
Ferrer is a Spanish-origin surname borne by numerous notable figures in the arts, sports, and public life.
-
C.
Fernando Lopez
Fernando Lopez was a Filipino politician and businessman who served multiple terms as Vice President of the Philippines in the mid-20th century.
-
D.
Sergio Navarro
Sergio Navarro is a relatively obscure individual whose primary public mention is as a notable bearer of the surname Navarro.
-
E.
Rosario Robles
Rosario Robles is a Mexican politician who has held prominent cabinet positions and served as Mexico City’s first female mayor.
- 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_69d87f1c65e48190aa2b4c472e9bafc4 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e5aa57c8190a9d89dd57e30318f |
completed | April 17, 2026, 11:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff7b05a588190a44d1c922195a87b |
completed | May 10, 2026, 3:12 a.m. |
Created at: April 10, 2026, 5:01 a.m.