Triple
T4251976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orval Overall |
E95874
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Orval |
E158804
|
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: Orval | Statement: [Orval Overall, givenName, Orval]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orval Context triple: [Orval Overall, givenName, Orval]
-
A.
Orval
chosen
Orval is a masculine given name most notably associated with American politician Orval Faubus, the governor of Arkansas during the Little Rock Integration Crisis.
-
B.
Bevin
Bevin is a surname most notably associated with Ernest Bevin, a prominent British Labour politician and post–World War II Foreign Secretary.
-
C.
Rumsen
Rumsen is a now-extinct Native American language formerly spoken by the Rumsen Ohlone people of the central California coast, traditionally classified within the Costanoan (Ohlone) branch of the Utian language family.
-
D.
Ozanne
Ozanne is a river in France that serves as a right-bank tributary of the Loir.
-
E.
Lauter
Lauter is a small river in Germany that serves as a tributary of the Innerste.
- 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_69b3453f759881909b91f01a1e82c036 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34ea059108190aa00f0f20673e0ac |
completed | March 12, 2026, 11:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a88225288190bb627de15da77c42 |
completed | March 14, 2026, 6:27 p.m. |
Created at: March 12, 2026, 11:06 p.m.