Triple
T12490259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eva Longoria |
E298542
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Longoria |
E983990
|
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: Longoria | Statement: [Eva Longoria, familyName, Longoria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longoria Context triple: [Eva Longoria, familyName, Longoria]
-
A.
Longoria
chosen
Longoria is a surname most prominently associated with American professional baseball third baseman Evan Longoria.
-
B.
Lorena
Lorena is a city in the state of São Paulo, Brazil, known for hosting a campus of the University of São Paulo.
-
C.
Lola Salazar
Lola Salazar is a fictional character appearing in the narrative of *The Wolf Song*.
-
D.
Sunshine Cruz
Sunshine Cruz is a Filipina actress and singer known for her work in film and television, as well as being a member of the prominent Cruz showbiz family.
-
E.
Leona Philippo
Leona Philippo is a Dutch singer and performer who gained national fame after winning the popular televised talent competition The Voice of Holland.
- 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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de1db9481909ddf70eb81cdb714 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64ba9e1108190b74984d9da9baebe |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:56 p.m.