Triple
T5857117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zsa Zsa Gabor |
E130182
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Sári |
E232348
|
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: Sári | Statement: [Zsa Zsa Gabor, givenName, Sári]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sári Context triple: [Zsa Zsa Gabor, givenName, Sári]
-
A.
Sári
chosen
Sári is a Hungarian given name and surname, often used as a diminutive form of names like Sára.
-
B.
Sajó
Sajó is a river in Central Europe that flows through Slovakia and northeastern Hungary before joining the Tisza River.
-
C.
Ercsi
Ercsi is a small town in central Hungary situated along the Danube River in Fejér County.
-
D.
Sarolt
Sarolt was a prominent 10th-century Hungarian noblewoman and duchess, influential in the Christianization and early state formation of Hungary as the wife of Grand Prince Géza and mother of King Stephen I.
-
E.
Sárbogárd
Sárbogárd is a small town in central Hungary known for its agricultural surroundings and role as a local transport hub within Fejér County.
- 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_69c0084f3bb08190a7720f55f7aa4252 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0355755508190ab349cdcf0c8a58d |
completed | March 22, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0bfdd5920819087f48db024e4a3ed |
completed | March 23, 2026, 4:21 a.m. |
Created at: March 22, 2026, 3:56 p.m.