Triple
T1747543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Shape of Water |
E38368
|
entity |
| Predicate | cinematographer |
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: [The Shape of Water, cinematographer, Dan Laustsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Laustsen Context triple: [The Shape of Water, cinematographer, 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.
Lars Jensen
Lars Jensen is an entrepreneur best known as a co-founder of the online advertising technology company DoubleClick.
-
C.
Lars Heikensten
Lars Heikensten is a Swedish economist and former Governor of Sveriges Riksbank who has also held prominent roles in European financial institutions and cultural organizations.
-
D.
Martin Lindauer
Martin Lindauer was a German behavioral biologist and prominent honeybee researcher known for his pioneering work on insect communication and social organization.
-
E.
Jesper Christensen
Jesper Christensen is a Danish actor known internationally for his roles in European cinema and major Hollywood films, including the James Bond series.
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa63ecda0c819091f81942a5bde31d |
completed | March 6, 2026, 5:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1b679d88190b3c6e50c96f917e4 |
completed | March 8, 2026, 7:44 p.m. |
Created at: March 4, 2026, 7:31 p.m.