Triple
T8742068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orson |
E207527
|
entity |
| Predicate | hasDiminutiveForm |
P456
|
FINISHED |
| Object | Ors |
E194825
|
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: Ors | Statement: [Orson, hasDiminutiveForm, Ors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ors Context triple: [Orson, hasDiminutiveForm, Ors]
-
A.
Ors
chosen
Ors is a small commune in northern France, known for its World War I history and military cemetery.
-
B.
OROLSI
OROLSI is a United Nations office responsible for supporting rule of law, security sector reform, and related institution-building in conflict and post-conflict settings.
-
C.
Orkh
Orkh is the ISO 15924 script code assigned to the Old Turkic (Orkhon) runic writing system historically used by early Turkic peoples of Central Asia.
-
D.
Ora
Ora is the surname of British singer, songwriter, and actress Rita Ora, known for her pop hits and work in film and television.
-
E.
ORO
ORO is the U.S. Department of Energy’s Oak Ridge Office, which oversees federal energy, science, and environmental management activities at the Oak Ridge Reservation in Tennessee.
- 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_69ca835a03a081909d4d4cd01a18c9fb |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d6fd5dc8190906b7147f27c5d46 |
completed | March 31, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42f282e48190ad158063e265e0f0 |
completed | April 3, 2026, 4:32 a.m. |
Created at: March 30, 2026, 6:38 p.m.