Triple
T9317201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Lukas |
E224153
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Paul Lukas |
E224153
|
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: Paul Lukas | Statement: [Paul Lukas, name, Paul Lukas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Lukas Context triple: [Paul Lukas, name, Paul Lukas]
-
A.
Paul Lukas
chosen
Paul Lukas was a Hungarian-American actor known for his distinguished stage and film career, including an Academy Award-winning performance in "Watch on the Rhine."
-
B.
Paul Ritter
Paul Ritter was an English stage and screen actor known for his versatile character roles in productions such as the sitcom "Friday Night Dinner," the miniseries "Chernobyl," and numerous acclaimed theatre performances.
-
C.
Joseph Markovitch
Joseph Markovitch was the father of French photographer and painter Dora Maar, a key figure in the Surrealist movement and companion of Pablo Picasso.
-
D.
Adolph John
Adolph John was a 17th-century Swedish prince of the House of Palatinate-Zweibrücken who held the title Count Palatine of Kleeburg.
-
E.
Martin Gabel
Martin Gabel was an American actor and director known for his character roles in film, theater, and television, as well as his frequent appearances on quiz and panel shows.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd35899b9081908bb0c310cc25722f |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0c7b73ff881909e936374fd90a822 |
completed | April 4, 2026, 8:11 a.m. |
Created at: March 30, 2026, 7:38 p.m.