Triple
T7498436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palooka |
E177193
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Stuart Erwin |
E162416
|
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: Stuart Erwin | Statement: [Palooka, starring, Stuart Erwin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuart Erwin Context triple: [Palooka, starring, Stuart Erwin]
-
A.
Stuart Erwin
chosen
Stuart Erwin was an American actor known for his work in early 20th-century film, radio, and television, often portraying affable, comedic everyman characters.
-
B.
Victor Mature
Victor Mature was an American film actor known for his rugged leading-man roles in 1940s and 1950s Hollywood epics and adventure films.
-
C.
Rance Howard
Rance Howard was an American character actor known for his extensive work in film and television and as the patriarch of the Howard acting and directing family.
-
D.
Roy Harlow
Roy Harlow was the husband of silent film actress Marie Mosquini, known primarily in relation to her career in early American cinema.
-
E.
Robert Montgomery
Robert Montgomery was an American film and television actor and director prominent in the 1930s and 1940s, known for his roles in both light comedies and dramas as well as his later work behind the camera.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f597a0c08190b34fa283a11d98c7 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856acc3208190985e10c285f41e02 |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:44 p.m.