Triple
T14736566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isabel Preysler |
E346224
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Preysler |
E1073720
|
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: Preysler | Statement: [Isabel Preysler, familyName, Preysler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Preysler Context triple: [Isabel Preysler, familyName, Preysler]
-
A.
Preysler
chosen
Preysler is a Spanish-Filipino surname best known through socialite Isabel Preysler and her prominent family in Spanish high society and media.
-
B.
Shriever
Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
-
C.
Schleprock
Schleprock is a perpetually gloomy, bad-luck-bringing character from the Flintstones universe, best known for his catchphrase “Wowzie wow wow.”
-
D.
Strelsau
Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
-
E.
Rattenberg
Rattenberg is a small municipality in the Straubing-Bogen district of Lower Bavaria, Germany, known for its rural setting and traditional Bavarian character.
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec73114cc819088e1101b689fc70b |
completed | April 14, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb8e0d488190851d73b75ba4c0a6 |
completed | May 8, 2026, 3:04 p.m. |
Created at: April 10, 2026, 1:29 a.m.