Triple
T16435203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regina Lampert |
E399164
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Regina Lampert |
E399164
|
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: Regina Lampert | Statement: [Regina Lampert, name, Regina Lampert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Regina Lampert Context triple: [Regina Lampert, name, Regina Lampert]
-
A.
Regina Lampert
chosen
Regina Lampert is the witty and resourceful heroine of the 1963 romantic thriller film "Charade," famously portrayed by Audrey Hepburn.
-
B.
Kinga Lampert
Kinga Lampert is a philanthropist and breast cancer advocate best known as the co-founder and chair of the Breast Cancer Research Foundation.
-
C.
Regine Bernstein
Regine Bernstein was the wife of German socialist theorist and politician Eduard Bernstein.
-
D.
Daphne Kluger
Daphne Kluger is a glamorous, high-profile actress and the unsuspecting target of the jewel heist in the film "Ocean's 8."
-
E.
Adele Wolff
Adele Wolff is a fictional, thrill-seeking sniper and adrenaline junkie from the action film "xXx: Return of Xander Cage."
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba1023481909588aa6a3c677886 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0045872a688190bcab27c6a2b952cd |
completed | May 10, 2026, 8:44 a.m. |
Created at: April 10, 2026, 5:10 a.m.