Triple
T21633956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Four Feathers (1939 film) |
E533905
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Allan Jeayes |
—
|
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: Allan Jeayes | Statement: [The Four Feathers (1939 film), starring, Allan Jeayes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allan Jeayes Context triple: [The Four Feathers (1939 film), starring, Allan Jeayes]
-
A.
Allan Jeayes
chosen
Allan Jeayes was a British character actor known for his numerous supporting roles in early- to mid-20th-century films and stage productions.
-
B.
Allan Pugh
Allan Pugh is an individual notable enough to be specifically recorded as a bearer of the surname Pugh.
-
C.
Allan Brierley
Allan Brierley is a writer best known for his work on the film "Silent Scream."
-
D.
Allan Little
Allan Little is a British journalist and former BBC correspondent known for his in-depth reporting on international conflicts and political affairs.
-
E.
Allan Royal
Allan Royal is a Canadian actor known for his work in film and television, including a role in the tech-industry docudrama "Pirates of Silicon Valley."
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef52192e388190a3f316e33f452561 |
completed | April 27, 2026, 12:10 p.m. |
Created at: April 16, 2026, 6:35 p.m.