Triple
T6543734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eduardo Frei Ruiz-Tagle |
E168352
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Frei |
E167655
|
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: Frei | Statement: [Eduardo Frei Ruiz-Tagle, familyName, Frei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Frei Context triple: [Eduardo Frei Ruiz-Tagle, familyName, Frei]
-
A.
Frei
chosen
Frei is a Chilean surname most prominently associated with the influential political family that produced two presidents of Chile, Eduardo Frei Montalva and his son Eduardo Frei Ruiz-Tagle.
-
B.
Santo
Santo is a surname most famously associated with Ron Santo, the Hall of Fame third baseman for the Chicago Cubs.
-
C.
Mönch
Mönch is a prominent mountain peak in the Swiss Bernese Alps, forming part of the famous Eiger–Mönch–Jungfrau trio.
-
D.
Santi
Santi is the ghost of a murdered boy who haunts a remote orphanage in Guillermo del Toro’s gothic horror film "The Devil’s Backbone."
-
E.
Aloysius
Aloysius is a masculine given name of Latinized form, historically borne by several saints and used in various European languages.
- 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_69c68a51564081909e93aee0dbd9cca3 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6adeb54d88190a3199f9a517d7232 |
completed | March 27, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d544f8248190bc5dd4685fb1473e |
completed | March 27, 2026, 7:06 p.m. |
Created at: March 27, 2026, 1:50 p.m.