Triple
T12927111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernardo Gui |
E309271
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Gui |
E90524
|
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: Gui | Statement: [Bernardo Gui, familyName, Gui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gui Context triple: [Bernardo Gui, familyName, Gui]
-
A.
Gui
chosen
Gui is a short form or nickname commonly used for the given name Guillaume.
-
B.
UI
UI is the commonly used abbreviation for the University of Iceland, the country’s leading public research university located in Reykjavík.
-
C.
UI
UI is the commonly used abbreviation for the University of Indonesia, one of the country’s leading public universities.
-
D.
UIT
UIT is the IATA airport code for the airfield serving Jaluit Atoll in the Marshall Islands.
-
E.
Plastic GUI
Plastic GUI is the graphical user interface client for the Plastic SCM version control system, providing visual tools for managing source code and repository operations.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971eb17c88190bf523da897172a0c |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6af6655e88190ac33567870a947bb |
completed | May 3, 2026, 2:13 a.m. |
Created at: April 9, 2026, 5:42 p.m.