Triple
T12176993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvard University |
E290112
|
entity |
| Predicate | motto |
P42
|
FINISHED |
| Object | Veritas |
E104
|
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: Veritas | Statement: [Harvard University, motto, Veritas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veritas Context triple: [Harvard University, motto, Veritas]
-
A.
Veritas
chosen
Veritas is the Latin word for "truth" and is famously used as the motto of Harvard University.
-
B.
Vartan
Vartan is a surname most notably associated with French-American actor Michael Vartan.
-
C.
Verus
Verus was the cognomen of Marcus Annius Verus, a Roman praetor and member of a prominent senatorial family in the 2nd century AD.
-
D.
Opsarius
Opsarius is a genus of small freshwater cyprinid fishes native to rivers and streams of South and Southeast Asia.
-
E.
Siris
Siris is a philosophical work by George Berkeley that explores metaphysics, theology, and the medicinal virtues of tar-water through a chain of reflective questions and arguments.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915fa6ff08190a1ddb3606c229cad |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6ab19288190a882c842d74a2e30 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.