Triple
T12268745
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. Anthony Lukas |
E292417
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Lukas |
E202706
|
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: Lukas | Statement: [J. Anthony Lukas, familyName, Lukas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lukas Context triple: [J. Anthony Lukas, familyName, Lukas]
-
A.
Lukas
chosen
Lukas is a masculine given name commonly used in various European countries, often associated with the biblical name Luke.
-
B.
Lukas Ahorn
Lukas Ahorn was a Swiss sculptor best known for carving Lucerne’s famous Lion Monument, a memorial to the Swiss Guards who died during the French Revolution.
-
C.
Luka
Luka is a central character in Maxim Gorky's play "The Lower Depths," known as a compassionate wanderer whose comforting lies and philosophical outlook profoundly affect the other destitute inhabitants of the shelter.
-
D.
Luka
Luka is the young protagonist of Salman Rushdie’s fantasy novel "Luka and the Fire of Life," who embarks on a magical quest to save his father.
-
E.
Luka
"Luka" is a 1987 folk-pop song by Suzanne Vega that poignantly addresses the subject of child abuse from a child's perspective.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cdd7b3c8190afd237cd9b633d4d |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6799088190a5644267733ca2e5 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.