Triple
T8499299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Boat Is Full |
E201174
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Hans Liechti
Hans Liechti is a cinematographer best known for his work on the Swiss World War II drama film "The Boat Is Full."
|
E740520
|
NE FINISHED |
How this triple was built (4 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: Hans Liechti | Statement: [The Boat Is Full, cinematographyBy, Hans Liechti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hans Liechti Context triple: [The Boat Is Full, cinematographyBy, Hans Liechti]
-
A.
Alfred Wehrli
Alfred Wehrli was a notable figure significant enough in his community or institution to have Benedetti–Wehrli Stadium named in his honor.
-
B.
Hans Suter
Hans Suter is a notable individual who bears the surname Suter, recognized enough to be specifically cited among people with that name.
-
C.
Paul Köchli
Paul Köchli is a Swiss cycling coach and former professional rider best known for managing the La Vie Claire team during the 1980s, working with stars like Bernard Hinault and Greg LeMond.
-
D.
Heinrich Zurfluh
Heinrich Zurfluh was a mountaineer known for participating in the first recorded ascent of Dykh-Tau in the Caucasus.
-
E.
Fritz Affolter
Fritz Affolter was a Swiss mountaineer known for participating in the 1956 Swiss expedition to Mount Everest and Lhotse.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hans Liechti Triple: [The Boat Is Full, cinematographyBy, Hans Liechti]
Generated description
Hans Liechti is a cinematographer best known for his work on the Swiss World War II drama film "The Boat Is Full."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hans Liechti Target entity description: Hans Liechti is a cinematographer best known for his work on the Swiss World War II drama film "The Boat Is Full."
-
A.
Alfred Wehrli
Alfred Wehrli was a notable figure significant enough in his community or institution to have Benedetti–Wehrli Stadium named in his honor.
-
B.
Hans Suter
Hans Suter is a notable individual who bears the surname Suter, recognized enough to be specifically cited among people with that name.
-
C.
Paul Köchli
Paul Köchli is a Swiss cycling coach and former professional rider best known for managing the La Vie Claire team during the 1980s, working with stars like Bernard Hinault and Greg LeMond.
-
D.
Heinrich Zurfluh
Heinrich Zurfluh was a mountaineer known for participating in the first recorded ascent of Dykh-Tau in the Caucasus.
-
E.
Fritz Affolter
Fritz Affolter was a Swiss mountaineer known for participating in the 1956 Swiss expedition to Mount Everest and Lhotse.
- F. None of above. chosen
Provenance (5 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5984d7481908c41c57bef9cf254 |
completed | March 31, 2026, 3:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d1c2ce4819082c92484d3865edf |
completed | April 2, 2026, 1:20 p.m. |
| NEDg | Description generation | batch_69ce6e66c5e48190badcc5e075892006 |
completed | April 2, 2026, 1:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce6f0cc434819089e78d24dfee5361 |
completed | April 2, 2026, 1:28 p.m. |
Created at: March 30, 2026, 6:14 p.m.