Triple
T11066586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Informer (1935 film) |
E261639
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Wallace Ford |
E412428
|
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: Wallace Ford | Statement: [The Informer (1935 film), castMember, Wallace Ford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wallace Ford Context triple: [The Informer (1935 film), castMember, Wallace Ford]
-
A.
Wallace Ford
chosen
Wallace Ford was a British-born American character actor known for his prolific work in Hollywood films from the 1930s through the 1950s, often playing tough, streetwise or everyman roles.
-
B.
Vincent Ford
Vincent Ford was a Jamaican songwriter best known for penning Bob Marley’s iconic song “No Woman, No Cry.”
-
C.
Warren William
Warren William was an American stage and film actor of the 1930s, best known for his suave, often morally ambiguous leading and supporting roles in Hollywood pre-Code dramas and mysteries.
-
D.
Eddie Bracken
Eddie Bracken was an American comedic actor known for his roles in 1940s and 1950s film comedies and Broadway productions.
-
E.
Boyd Holbrook
Boyd Holbrook is an American actor and former model known for roles in films like "Logan" and "Gone Girl" and the Netflix series "Narcos."
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7991f84488190a974d1744a62798d |
completed | April 9, 2026, 12:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d6070248190adb8e74daff09f83 |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:26 p.m.