Triple
T9789331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Young Guns |
E237567
|
entity |
| Predicate | cinematographer |
P1953
|
FINISHED |
| Object | Dean Semler |
E335263
|
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: Dean Semler | Statement: [Young Guns, cinematographer, Dean Semler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dean Semler Context triple: [Young Guns, cinematographer, Dean Semler]
-
A.
Dean Semler
chosen
Dean Semler is an Australian cinematographer renowned for his work on major Hollywood films, including the comedy sequel "Nutty Professor II: The Klumps."
-
B.
Michael Leiters
Michael Leiters is an automotive executive known for senior leadership roles at high-performance sports car manufacturers, including serving as CEO of McLaren Automotive.
-
C.
Dean Riesner
Dean Riesner was an American screenwriter best known for his work on films such as "Dirty Harry" and "Play Misty for Me."
-
D.
Jack Keller
Jack Keller was an American songwriter and producer associated with the Brill Building era, known for co-writing numerous pop hits in the 1960s.
-
E.
David Keller
David Keller is a fictional character from the film "The Names."
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda214875481909f39e1d4dbac1fdb |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c42c9fe081908145911cad6723c2 |
completed | April 5, 2026, 2:08 a.m. |
Created at: March 30, 2026, 8:27 p.m.