Triple
T21484728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sant Yago |
E530087
|
entity |
| Predicate | nameElement |
P27866
|
FINISHED |
| Object | Yago |
—
|
NE NERFINISHED |
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: Yago | Statement: [Sant Yago, nameElement, Yago]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yago Context triple: [Sant Yago, nameElement, Yago]
-
A.
Yago
chosen
Yago is a given name, often used as a variant of Santiago in Spanish- and Portuguese-speaking contexts.
-
B.
Norberto
Norberto is an Italian given name most notably borne by the influential legal and political philosopher Norberto Bobbio.
-
C.
Marcelo
Marcelo is a surname most prominently associated with Sheila Lirio Marcelo, the Filipino-American entrepreneur who founded the caregiving platform Care.com.
-
D.
Marcelo
Marcelo is a common Portuguese and Spanish given name, notably borne by figures such as Brazilian footballer Marcelo Vieira and former Portuguese Prime Minister Marcelo Caetano.
-
E.
Jorge
Jorge is a key supporting character and leader of a rebel group in James Dashner’s dystopian Maze Runner sequel "The Scorch Trials."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea365a8481909635f614b23e751f |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:21 p.m.