Triple
T14628795
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ignazio |
E343423
|
entity |
| Predicate | hasRelatedName |
P3889
|
FINISHED |
| Object | Ignace |
E512784
|
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: Ignace | Statement: [Ignazio, hasRelatedName, Ignace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ignace Context triple: [Ignazio, hasRelatedName, Ignace]
-
A.
Ignace
chosen
Ignace is a small township and community in northwestern Ontario, Canada, known as a service and transportation hub along the Trans-Canada Highway.
-
B.
Ignacy
Ignacy is a masculine given name of Polish origin, historically borne by several notable figures including scientists, politicians, and religious leaders.
-
C.
Ignaz
Ignaz is a masculine given name of Germanic origin historically borne by several notable Central European figures.
-
D.
Gaspard
Gaspard is a French masculine given name historically borne by notable figures such as nobles, military leaders, and artists.
-
E.
Ignacio
Ignacio is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4a7c8fc81909d10c1f563d7d1e7 |
completed | April 14, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde16e85488190b0dcc2ccd2f5df4d |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:26 a.m.