Triple
T995335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jaws 2 |
E21482
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Carl Gottlieb |
E47532
|
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: Carl Gottlieb | Statement: [Jaws 2, screenwriter, Carl Gottlieb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Gottlieb Context triple: [Jaws 2, screenwriter, Carl Gottlieb]
-
A.
Carl Gottlieb
chosen
Carl Gottlieb is an American screenwriter, actor, and director best known for co-writing the blockbuster film "Jaws" and its sequels.
-
B.
Fritz Melchers
Fritz Melchers is a Swiss immunologist renowned for his influential research on B cell development and the immune system.
-
C.
Heinrich Klopfer
Heinrich Klopfer was a Nazi official and legal expert who participated in the planning and administration of the Holocaust.
-
D.
Karl Grobben
Karl Grobben was an Austrian zoologist known for his influential work in animal classification, including helping to establish major groups such as the Deuterostomia.
-
E.
Otto Hofmann
Otto Hofmann was a high-ranking SS official and head of the SS Race and Settlement Main Office who played a role in implementing Nazi racial policies during the Holocaust.
- 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_69a493c476b48190b41fc5e793171cc6 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b4c75de88190bf7fec7a053f7a90 |
completed | March 1, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8034cf0819089240d70f0a346a6 |
completed | March 9, 2026, 10:59 a.m. |
Created at: March 1, 2026, 7:41 p.m.