Triple
T15122388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Never Say Never |
E361199
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object |
Thomas Kloss
Thomas Kloss is a cinematographer known for his work on feature films and music-related projects, including the concert film "Never Say Never."
|
E1174878
|
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: Thomas Kloss | Statement: [Never Say Never, cinematographyBy, Thomas Kloss]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thomas Kloss Context triple: [Never Say Never, cinematographyBy, Thomas Kloss]
-
A.
Martin Klotz
Martin Klotz was an Austrian mountaineer known for being one of the first climbers to reach the summit of the Grossglockner, Austria’s highest peak.
-
B.
Nigel Glockler
Nigel Glockler is an English drummer best known for his long-standing role in the heavy metal band Saxon.
-
C.
Richard Lohse
Richard Lohse was a Swiss painter and graphic designer known for his influential role in concrete art and systematic, geometric abstraction in the 20th century.
-
D.
Michael Schoeffling
Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
-
E.
Michael Tuchner
Michael Tuchner was a British film and television director known for his work on crime dramas and character-driven stories in the 1960s and 1970s.
- 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: Thomas Kloss Triple: [Never Say Never, cinematographyBy, Thomas Kloss]
Generated description
Thomas Kloss is a cinematographer known for his work on feature films and music-related projects, including the concert film "Never Say Never."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thomas Kloss Target entity description: Thomas Kloss is a cinematographer known for his work on feature films and music-related projects, including the concert film "Never Say Never."
-
A.
Martin Klotz
Martin Klotz was an Austrian mountaineer known for being one of the first climbers to reach the summit of the Grossglockner, Austria’s highest peak.
-
B.
Nigel Glockler
Nigel Glockler is an English drummer best known for his long-standing role in the heavy metal band Saxon.
-
C.
Richard Lohse
Richard Lohse was a Swiss painter and graphic designer known for his influential role in concrete art and systematic, geometric abstraction in the 20th century.
-
D.
Michael Schoeffling
Michael Schoeffling is an American former actor and model best known for his role as Jake Ryan in the 1984 film "Sixteen Candles."
-
E.
Michael Tuchner
Michael Tuchner was a British film and television director known for his work on crime dramas and character-driven stories in the 1960s and 1970s.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0059f69a881909929a037a0eef702 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff8754ef408190be0e4ea5c35cf000 |
completed | May 9, 2026, 7:13 p.m. |
| NEDg | Description generation | batch_69ff881731ac8190baa3cea2c9b7975b |
completed | May 9, 2026, 7:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff88cfbe388190b20c426b4c745f92 |
completed | May 9, 2026, 7:19 p.m. |
Created at: April 10, 2026, 3:06 a.m.