Triple
T3672636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghostbusters |
E77914
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | László Kovács |
E260960
|
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: László Kovács | Statement: [Ghostbusters, cinematographyBy, László Kovács]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: László Kovács Context triple: [Ghostbusters, cinematographyBy, László Kovács]
-
A.
László Kovács
chosen
László Kovács was a renowned Hungarian-American cinematographer celebrated for his influential work in New Hollywood cinema, including landmark films of the late 1960s and 1970s.
-
B.
László Papp
László Papp was a legendary Hungarian boxer who became the first boxer to win three consecutive Olympic gold medals.
-
C.
László Bárdossy
László Bárdossy was a Hungarian politician who served as prime minister during World War II and played a key role in aligning Hungary with Nazi Germany.
-
D.
László Csatay
László Csatay was a Hungarian military officer and politician who served as Hungary’s Minister of Defence during World War II.
-
E.
Lajos Pósa
Lajos Pósa is a Hungarian mathematician known for his contributions to combinatorics and graph theory, as well as for his influential work in mathematics education.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42f82548190b4d5f0fe7250decb |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4e0abd08190895897c62a7a5243 |
completed | March 14, 2026, 4:32 a.m. |
Created at: March 8, 2026, 3:25 p.m.