Triple
T12291586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leal L. Gary |
E292975
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Leal |
E817425
|
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: Leal | Statement: [Leal L. Gary, hasGivenName, Leal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leal Context triple: [Leal L. Gary, hasGivenName, Leal]
-
A.
Leal
chosen
Leal is a surname most notably associated with American actress and singer Sharon Leal, known for her work in film, television, and musical theater.
-
B.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
C.
Leynar
Leynar is a small coastal village on the island of Streymoy in the Faroe Islands, known for its scenic shoreline and surrounding mountains.
-
D.
Leandro
Leandro is the given first name of Argentine jazz saxophonist and composer Gato Barbieri.
-
E.
Carbajal
Carbajal is a Spanish surname historically associated with figures such as Garcí Manuel de Carbajal, a notable colonial-era official.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91d22ba488190914342fa7e69e159 |
completed | April 10, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e775dac819099d44b61cbccc109 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.