Triple
T7095425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diana Taurasi |
E165312
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Taurasi |
E165312
|
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: Taurasi | Statement: [Diana Taurasi, familyName, Taurasi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taurasi Context triple: [Diana Taurasi, familyName, Taurasi]
-
A.
Taurasi
chosen
Taurasi is the surname of Diana Taurasi, a legendary American professional basketball player widely regarded as one of the greatest in WNBA history.
-
B.
Priola
Priola is a small locality in northeastern Italy situated close to the famous Monte Zoncolan in the Carnic Alps.
-
C.
Reggiolo
Reggiolo is a small town in the Emilia-Romagna region of northern Italy, known as the birthplace of renowned football manager Carlo Ancelotti.
-
D.
Veroli
Veroli is a historic hill town in central Italy’s Lazio region, known for its medieval architecture and ancient roots dating back to the Hernici people.
-
E.
Tomainia
Tomainia is the fictional fascist dictatorship in Charlie Chaplin’s film "The Great Dictator," serving as a satirical stand-in for Nazi Germany.
- 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_69c6887e8c10819091cee237560d32da |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e5530f2081908ac969ddfa7e9b5a |
completed | March 27, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c9e4efc8190acb011a0bd1f120f |
completed | March 28, 2026, 9:17 a.m. |
Created at: March 27, 2026, 2:41 p.m.