Triple
T5730965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Sign of the Cross |
E126381
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Waldemar Young |
E186306
|
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: Waldemar Young | Statement: [The Sign of the Cross, screenwriter, Waldemar Young]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waldemar Young Context triple: [The Sign of the Cross, screenwriter, Waldemar Young]
-
A.
Waldemar Young
chosen
Waldemar Young was an American screenwriter known for his work on numerous Hollywood films during the silent and early sound eras.
-
B.
Nelson Woss
Nelson Woss is an Australian film producer best known for his work on the popular family film "Red Dog" and its related projects.
-
C.
Karl Olive
Karl Olive is a French politician and former sports journalist who has served as a mayor and later became a member of the National Assembly.
-
D.
Howard Young
Howard Young was a film producer best known for his work on the 1942 musical comedy "Panama Hattie."
-
E.
Walter Hendricks
Walter Hendricks was an American educator best known as the founder and first president of Marlboro College in Vermont.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025318d688190bd878c5aa1a28728 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a8cca748190b471c842fd2ce218 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:47 p.m.