Triple
T8335425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shazam! |
E195775
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Maxime Alexandre |
E457494
|
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: Maxime Alexandre | Statement: [Shazam!, cinematographyBy, Maxime Alexandre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maxime Alexandre Context triple: [Shazam!, cinematographyBy, Maxime Alexandre]
-
A.
Maxime Alexandre
chosen
Maxime Alexandre is a Belgian-Italian cinematographer known for his work on genre films, particularly in horror and dark comedy.
-
B.
Maxime
Maxime is a French given name commonly used for males, derived from the Latin name Maximus meaning "greatest."
-
C.
Auguste Toulmouche
Auguste Toulmouche was a 19th-century French academic painter best known for his elegant, meticulously detailed depictions of fashionable Parisian women and domestic interiors.
-
D.
Étienne Marcel
Étienne Marcel is a Paris Métro station in the city center, named after the 14th-century provost of the merchants of Paris and serving the busy Les Halles area.
-
E.
Pierre Samuel
Pierre Samuel was a French mathematician known for his influential work in commutative algebra and number theory, and for co-authoring several foundational texts in algebra.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd2ca648190991e398ba70caf8d |
completed | March 31, 2026, 8:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4d941ca081909cc03949304c5052 |
completed | April 2, 2026, 11:05 a.m. |
Created at: March 30, 2026, 5:57 p.m.