Triple
T15624596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Didyme |
E375647
|
entity |
| Predicate | turnedBy |
P85351
|
FINISHED |
| Object | Aro |
E375641
|
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: Aro | Statement: [Didyme, turnedBy, Aro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aro Context triple: [Didyme, turnedBy, Aro]
-
A.
Aro
chosen
Aro is a powerful and ancient vampire in the Twilight series, known as one of the three ruling leaders of the Volturi coven and for his ability to read every thought a person has ever had through touch.
-
B.
Aroab
Aroab is a small town in southern Namibia known for its remote desert setting and role as a local service center for surrounding farming communities.
-
C.
Aru
Aru is a group of closely related Austronesian languages spoken primarily in the Aru Islands of eastern Indonesia.
-
D.
Aru
Aru is a town in the northeastern Democratic Republic of the Congo, near the Ugandan border, serving as a local administrative and trading center in Ituri Province.
-
E.
Aros
Aros is a river in J.R.R. Tolkien’s Middle-earth, known for flowing through Beleriand and serving as a natural boundary in the First Age.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9cfd94819091459aa17a002eaf |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb0335a0c8190ade4c2f78df3d113 |
completed | May 9, 2026, 10:07 p.m. |
Created at: April 10, 2026, 4:14 a.m.