Triple
T18660054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack La Rue |
E456167
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jack La Rue |
—
|
NE NERFINISHED |
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: Jack La Rue | Statement: [Jack La Rue, name, Jack La Rue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack La Rue Context triple: [Jack La Rue, name, Jack La Rue]
-
A.
Jack La Rue
chosen
Jack La Rue was an American character actor best known for his tough-guy and villain roles in Hollywood films of the 1930s and 1940s.
-
B.
Jack Gariss
Jack Gariss was an American screenwriter best known for his work on major mid-20th-century Hollywood films, including contributing to the script of Cecil B. DeMille’s epic "The Ten Commandments" (1956).
-
C.
Frank Lapidus
Frank Lapidus is a skilled but troubled helicopter pilot in the television series "Lost," known for his role in transporting the freighter team to the mysterious island.
-
D.
Jack Feore
Jack Feore is the son of Canadian-American actor Colm Feore.
-
E.
Bruce Draine
Bruce Draine is an American astrophysicist renowned for his work on interstellar dust, the interstellar medium, and radiative processes in galaxies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e550889580819090ceb0ea4c93acc7 |
completed | April 19, 2026, 10 p.m. |
Created at: April 10, 2026, 11:48 a.m.