Triple
T13687061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaytoun |
E328158
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Dan Laustsen |
E75880
|
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: Dan Laustsen | Statement: [Zaytoun, cinematographyBy, Dan Laustsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Laustsen Context triple: [Zaytoun, cinematographyBy, Dan Laustsen]
-
A.
Dan Laustsen
chosen
Dan Laustsen is a Danish cinematographer renowned for his visually striking work on genre films and major action franchises.
-
B.
Soren Christensen
Soren Christensen is a writer best known for his work on the song "Love Generation."
-
C.
Dennis Rasmussen
Dennis Rasmussen is the name of multiple notable individuals, including a former Major League Baseball pitcher and a Swedish professional ice hockey player.
-
D.
Jon Jensen
Jon Jensen is the central protagonist of the film "The Salvation," around whom the story’s dramatic events and conflicts revolve.
-
E.
Niels Christensen
Niels Christensen is a relatively obscure individual whose name is notably borne by at least one person of some recorded significance, though specific widely known achievements are not clearly documented.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc670968881908e2b4fdf656c7285 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944981ec8190be5ff39b7c2c70ab |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.