Triple
T22757880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | José Lectoure |
E562899
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Luna Park |
—
|
NE NERFINISHED |
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: Luna Park | Statement: [José Lectoure, employer, Luna Park]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luna Park Context triple: [José Lectoure, employer, Luna Park]
-
A.
Luna Park
chosen
Luna Park is a historic indoor arena in Buenos Aires, Argentina, renowned for hosting major sports events, concerts, and cultural spectacles.
-
B.
Luna Park
Luna Park is a historic amusement park on Coney Island in Brooklyn, New York, known for its classic rides, carnival atmosphere, and role in early American amusement history.
-
C.
Luna Park
Luna Park is a 1992 Russian drama film by Pavel Lungin that explores nationalism, identity, and post-Soviet social tensions through the story of a neo-Nazi youth who discovers his Jewish heritage.
-
D.
Luna Park amusement park
Luna Park amusement park is a seaside funfair in Cap d’Agde, France, featuring a variety of rides, games, and family-friendly attractions.
-
E.
Luna Park Sydney
Luna Park Sydney is a historic harbourside amusement park in Sydney, Australia, famous for its iconic smiling entrance face and classic carnival rides.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a798ae08190b9810bf241613198 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:25 p.m.