Triple
T15419128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmen Electra |
E369326
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tara |
E193416
|
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: Tara | Statement: [Carmen Electra, givenName, Tara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tara Context triple: [Carmen Electra, givenName, Tara]
-
A.
Tara
Tara is a revered Buddhist goddess associated with compassion and protection, widely worshipped across South and Southeast Asia.
-
B.
Tara
Tara is a small rural town in Queensland, Australia, known for its agricultural community and location within the Western Downs Region.
-
C.
Tara
chosen
Tara is a female given name commonly used in English-speaking countries, often associated with notable figures such as Olympic figure skater Tara Lipinski.
-
D.
Tara
Tara is an ancient ceremonial and royal site in County Meath, Ireland, traditionally regarded as the seat of the High Kings of Ireland and a major center of Gaelic spiritual and political life.
-
E.
Tara
Tara is a river in the Balkans, primarily flowing through Montenegro and Bosnia and Herzegovina, renowned for carving the dramatic Tara River Canyon, one of the deepest river canyons in Europe.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ebce4f48190ba282ecb4fb2f6fa |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a7adb848190836fb972bc8744f1 |
completed | May 9, 2026, 11:28 a.m. |
Created at: April 10, 2026, 3:20 a.m.