Triple
T2367450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Dominic |
E46015
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Dominic |
E65702
|
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: Dominic | Statement: [Saint Dominic, givenName, Dominic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dominic Context triple: [Saint Dominic, givenName, Dominic]
-
A.
Dominic
chosen
Dominic is a central character in the romantic comedy film "Think Like a Man," portrayed as an aspiring chef and one of the men whose love life is influenced by Steve Harvey’s relationship advice.
-
B.
Domenico
Domenico is a masculine given name of Italian origin, historically borne by several notable figures including architects, artists, and religious leaders.
-
C.
Aloysius
Aloysius is a masculine given name of Latinized form, historically borne by several saints and used in various European languages.
-
D.
Dominik
Dominik is a male given name of Slavic origin, commonly used in Central and Eastern Europe.
-
E.
Gerard
Gerard is a masculine given name of Germanic origin, commonly used in various European 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc74b6bdc8190a12b2bcaa2dd7616 |
completed | March 7, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea89ae4688190be2e0825f0875ed3 |
completed | March 9, 2026, 11:01 a.m. |
Created at: March 4, 2026, 7:56 p.m.