Triple
T9501068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gregorio |
E229139
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Gregory (English) |
E50625
|
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: Gregory (English) | Statement: [Gregorio, hasCognate, Gregory (English)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gregory (English) Context triple: [Gregorio, hasCognate, Gregory (English)]
-
A.
Gregory
chosen
Gregory is a masculine given name of Greek origin, historically associated with figures such as the American actor Gregory Peck.
-
B.
Gregory
Gregory is an electoral district in Queensland, Australia, known for its vast rural area and strong agricultural and mining industries.
-
C.
Engstlige
Engstlige is a river in the Bernese Oberland region of Switzerland, known for flowing through the alpine resort area around Adelboden.
-
D.
Ingiloys
Ingiloys are a small indigenous Georgian-speaking ethnic group traditionally inhabiting the Zakatala region of present-day Azerbaijan, known for their unique blend of Georgian and Azerbaijani cultural and religious influences.
-
E.
Graeme
Graeme is a masculine given name of Scottish origin, commonly used in English-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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983d4b708190a4dfef1246986a26 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a0a5ec881908bb1643d2bea2c9f |
completed | April 4, 2026, 4:19 p.m. |
Created at: March 30, 2026, 7:57 p.m.